The first time I used Copilot, it felt like magic. And then, almost immediately after, it felt like a betrayal. It completed a function I was writing—a tedious, boilerplate data transformer—before I could even type the closing bracket. The code was… fine. It was correct. It was utterly soulless. It was the code equivalent of a mass-produced, flat-pack bookshelf: it holds books, but you’d never point to it and say, “Look at what I made.” This, I realized, is not the end of our craft. This is the return of the forge. We’ve been here before, you and I. We’ve lived through the journeys that reshaped our landscape. The Journey to Garbage Collection: We moved from meticulously managing every byte to trusting a runtime to do it for us. We didn't stop being developers; we started building more c…  ( 9 min )

Aposto que você já fez a definição de properties dos seus projetos Spring como no exemplo abaixo: application.my-variable=${MY_VARIABLE:haha} spring.application.name=env-variables-ex Temos uma propriedade customizada e uma default do Spring. A customizada com um ternário: se for informada uma variável de ambiente, se não um valor default. A default com valor fixo. E se eu te contar que não é necessário definir properties com ternários... E que é possível sobreescrever os valores até das que não possuem o ternário... O Spring prevê sobreescrita de valores de propriedades seguindo um padrão MUITO simples! Basta informar como Variáveis de Ambiente o nome da propertie todo maíusculo ou minúsculo e substituir pontos e hífens por underline! Por exemplo: APPLICATION_MY_VARIABLE=hiihi;server_port=8081 E também funciona em propriedades não declaradas explícitamente nos arquivos .properties (ou .yml)! No IntelliJ:  ( 6 min )

Hello, I'm continuing my journey of daily learning, focusing on System Design concepts (via the roadmap.sh System Design Roadmap) and then tackling DSA challenges on LeetCode. This is DAY 4! Today’s System Design concept dives into the classic trade-off in distributed systems: Availability vs. Consistency, closely tied to the CAP Theorem. Refers to the ability of a system to remain operational and provide services, even in the presence of failures. Measured in terms of uptime percentage. A highly available system ensures that users always get a response (no timeouts/errors), though the data might not always be the most recent. Guarantees that all clients see the same data at the same time. Important for maintaining data correctness and integrity. A strongly consistent system ensures that a…  ( 8 min )

Technology is undeniably captivating—a dynamic force that connects, streamlines, and enhances human potential. However, its brilliance is a double-edged sword, serving as both a blessing and a curse to itself and to those who wield it. Allow me to explore this duality. Technology is a blessing because of its transformative power. It has revolutionised industries, from healthcare to finance, by creating tools that improve efficiency and open new possibilities. However, this same prominence can be a curse. Tech often overestimates its importance, fostering the idea that it is the ultimate solution to all problems. This hubris can cause imbalances, where its role overshadows other vital sectors. When I talk about the “ordinariness” of tech, I’m not downplaying its value. My career, built on designing tech systems, shows its strength. Instead, I’m encouraging a perspective—acknowledging that tech is just one part of a bigger picture. Every sector, from healthcare to agriculture, deals with a fundamental aspect of human life. Tech’s role is distinct in its visibility and flexibility, but it’s not the most important. My point is straightforward: technology is remarkable in its ability to enhance, but it is commonplace in other industries. It exists to serve, not to dominate. As someone who has prospered during the tech boom, I encourage us to recognise its contributions without exaggerating its importance. By acknowledging technology’s ordinariness, we cultivate a healthier ecosystem where all sectors—healthcare, agriculture, education, and beyond—collaborate harmoniously. Tech’s brilliance lies in its ability to empower, not to overshadow. Let’s embrace its potential while honouring the equal importance of every field that sustains and enriches human life. In this balance, we envision a future where innovation serves humanity holistically, creating a world that thrives not solely because of technology, but because of the collective strength of all its components.  ( 7 min )

What if the business wrote the tests, and developers just made them pass? That's the promise of behavior-driven development (BDD). Instead of developers guessing at requirements, chasing why express it in a form Throughout my career, I've worked with teams of all shapes and sizes, and one pattern is universal: nobody loves writing tests. Most developers grudgingly agree they're important, but tests are often seen The result is predictable: coverage gaps, brittle suites, and requirements that live in Confluence but BDD flips that dynamic. Instead of treating tests as a chore, it turns them into a shared language between Before we dive into how this works, let's establish a few "Laws of Testing." These aren't divine truths, No application code will be written until tests are defined…  ( 11 min )

Consistency in API responses is critical for building reliable, developer-friendly RESTful APIs. Django REST Framework (DRF) provides robust tools for API development, but its default responses may lack a uniform structure. This article demonstrates how to implement a custom_response function to standardize API outputs, using the TeamSizeViewSet—which manages team size categories (e.g., "1-10 employees")—as an example. Adhering to the KISS (Keep It Simple, Stupid) principle, we focus exclusively on the custom_response function and its integration. The custom_response Function The custom_response function wraps DRF's Response object to deliver a consistent JSON structure with three fields: data: The payload (serialized data or null for errors/deletions). message: A human-readable descriptio…  ( 8 min )

Technology is a wonderful thing. Humans, and perhaps even our direct ancestors, have been employing it for millennia. From stone tools to quantum computers, humans can't seem to resist tinkering with whatever the universe gives them. And with even our most remote, uncontacted relatives still in possession of weapons and shelter, it's safe to say every person on this planet experiences technology from birth to their final days. Right now, as you read this, you're surrounded by, and literally in contact with, an almost uncountable web of human inventions. Technology shapes our lives, and in turn, we shape its future. It can be used for feats of great creation or acts of horrific destruction. Among all its branches, one of the most powerful and most accessible is code. You don't need a factor…  ( 8 min )

Let me start by saying this blogpost doesn’t come from a place of hate. I don’t hate online tools, I don’t hate media streaming. Many times they’re just more convenient, and I use them a lot (I even had a Stadia back in the day). love not needing it. That feeling of independence, of not having to ask a server for permission to access your own stuff, is why I went back to buy physical media. in advance. However, sometimes what you need is mainly online, or simply my terminally online brain struggles to conceive that you don't need a web browser for that. So it always feels really nice to discover new tools that allow you to access some resources offline. The weird thing is that we accepted online-first or even online-only note taking apps. Trello and later Notion, but their online-first nature ended up getting in the way. Good old man pages. That's it. They nailed it back in the 70s. before the Internet after all (why, they even predate C!) Yelp on Linux, or Man Reader on macOS, but TUI pagers like less or even vim do a good enough job imho. I also really like the cppman project, which allows you to download and navigate cppreference in a similar manner. I recently discovered Kiwix, which is meant for offline Wikipedia access but also has a bunch of documentation for APIs, tools and languages like Vulkan, CMake, Python, etc. whole of StackOverflow (80GB at the time of writing). If you're on macOS, Apple’s own Developer app allows you to download the excellent educational videos from past WWDC. Xcode also includes an offline version of all the Apple frameworks’ documentation. I use GoodLinks to save and synchronise articles across all my devices using iCloud. Pocket fans, until Mozilla killed it. Same with Omnivore. 🥀🪦 For other pages that might not translate so well to the “Reader View”, I use the “Reading List” in Safari (or lately on Orion). It allows you to download the whole page as it is. I'm not sure if there's a similar feature for Chromium or Firefox, but you can always print the page as a PDF!  ( 7 min )

There’s a quiet revolution happening in our IDE. It’s not the clattering of keys, but the gentle hum of a new presence: the AI code assistant. For many, it’s a curiosity. For some, a threat. But for those of us who’ve spent decades wrestling with complexity, it’s something else entirely: the most powerful copilot we’ve ever had. The mistake is to think it’s the architect. The architect is, and always will be, you. Your experience, your intuition, your understanding of the problem domain and the fragile ecosystem of your codebase—that’s the irreplaceable core. The AI is your first officer, your skilled draftsman, your relentless researcher. It translates your intent into code with terrifying speed. But without your guiding hand on the yoke, that speed is just a faster way to get lost. This …  ( 9 min )

You stand before your code editor. The terminal hums with the promise of a new project. You type the first command: create-react-app my-app. A minute passes. Then five. A torrent of dependencies floods your node_modules. webpack, babel, eslint, jest, a constellation of plugins and loaders you didn't explicitly ask for download into existence. The scaffolding is immense, sophisticated, and weighs more than the simple "Hello, World" you intended to build. You feel it, don't you? That subtle, background hum of complexity. It’s the weight of a thousand decisions made for you, a thousand tools you must now understand to debug a single stylesheet. We’ve become artists who spend more time maintaining our studio, grinding pigments, and building intricate brushes than we do painting. We have forgot…  ( 8 min )

So it's been almost a year since I published the article on Stacks. I even presented on Stacks on two occassions with HashiCorp engineers. The promise of delivering that multi-region/account/environment experience in a native Terraform language was something exciting. So with HashiConf coming up in 4 weeks, where is it now ? What changes have I seen in the recent days ? Before we jump into the details, lets pull up the definition of Stacks. Terraform Stacks lets you group and manage your Terraform configurations as repeatable units of infrastructure. Each stack defines what to deploy, where to deploy it, and how to keep it in sync—making it easier to manage complex environments, reuse modules, and automate deployments. Spoiler alert ; below seems to be a subtle way to say Stacks is going G…  ( 9 min )

Weekend of August 30-31, 2025 This weekend, as I took a much-needed break from the intensive coding of our 30-day challenge (spending time at Alki Beach with friends, some excellent crab and salmon fishing, and a great BBQ), I found myself reflecting on something that's been weighing on my mind for weeks. Over the last few months, I've had several conversations with recent Computer Science graduates—some friends of my son, others children of friends my age—who are struggling to even get unpaid internship positions. With the advances in coding capabilities of LLMs, getting entry-level jobs has become nearly impossible for them. But here's what hit me: the problem is really us. We as engineers have encouraged the younger generation (myself included) to pick up CS because they will "always …  ( 10 min )

The Unveiled Impact of Artificial Intelligence on Small Business Growth and Productivity As we dwell in the epoch of innovation and technology, artificial intelligence (AI) has undeniably left its imprint on diverse industries globally. However, its influence is not limited to giant tech corporations; small businesses are also increasingly harnessing its capabilities to amplify growth and productivity. This article delves into how AI impacts small businesses, analysing its role in enhancing efficiency and unlocking entrepreneurial potential. For small businesses, maintaining high productivity levels and efficient operations can be challenging, but AI technology offers promising solutions. AI-based applications and software can automate routine tasks, reducing manual labour and paving the way for quicker response times and enhanced performance. Advancements in AI have led to the development of intelligent virtual assistants, serving as competent office administrators that offer services 24/7. They help in managing tasks such as emails, scheduling meetings, and customer service, enabling the staff to focus on complex tasks requiring human touch and creative thinking. AI tools also eliminate the margin of human error, thereby improving the accuracy of tasks. For example, AI-powered accounting software can handle invoicing, payroll, tax preparation, and financial reports with impressive precision, eliminating errors that could result in financial loss or legal issues. The advent of AI has revolutionized data analytics, allowing businesses to make well-informed, strategic decisions. AI makes it feasible to process and interpret vast amounts of data in real-time, delivering valuable insights for small businesses. Through predictive analytics, AI can forecast custo  ( 6 min )

Machine learning is divided into supervised learning and unsupervised learning. Unsupervised learning is where the dataset is explored and hidden patterns are discovered within datasets that do not contain predefined labels or outcomes. Instead of predicting known results, unsupervised learning attempts to explore the data structure and group similar data points together. One of the most widely used techniques in unsupervised learning is clustering, which organizes data into meaningful groups based on similarities. Clustering is crucial in areas such as marketing, healthcare, image analysis, and fraud detection, where large volumes of data need to be interpreted without prior labels. Clustering Models; Hierarchical Clustering DBSCAN (Density-Based Spatial Clustering of Applications with Noise) Gaussian Mixture Models (GMMs) Applications of Clustering Clustering is widely applied across industries: Customer Segmentation: Companies use clustering to group customers based on purchasing behavior, allowing for targeted marketing and personalized recommendations. Fraud Detection: Unusual behavior in financial transactions can be identified as anomalies through clustering. Healthcare: Patient data can be clustered to identify disease patterns, predict risks, and personalize treatment plans. Insights and Challenges Clustering provides deep insights by revealing hidden structures in data. It enables organizations to make informed decisions, identify unusual patterns, and explore relationships that are not immediately obvious. However, clustering also presents challenges: Choosing the right number of clusters: Algorithms like K-Means require predefined cluster numbers, which may not always be obvious. Scalability: Some clustering methods struggle with very large or high-dimensional datasets. Sensitivity: Many algorithms are sensitive to feature scaling, noise, and initialization. Interpretability: Clusters may not always have clear real-world meaning, making insights harder to explain.  ( 7 min )

The Unveiled Impact of Artificial Intelligence on Small Business Growth and Productivity As we dwell in the epoch of innovation and technology, artificial intelligence (AI) has undeniably left its imprint on diverse industries globally. However, its influence is not limited to giant tech corporations; small businesses are also increasingly harnessing its capabilities to amplify growth and productivity. This article delves into how AI impacts small businesses, analysing its role in enhancing efficiency and unlocking entrepreneurial potential. For small businesses, maintaining high productivity levels and efficient operations can be challenging, but AI technology offers promising solutions. AI-based applications and software can automate routine tasks, reducing manual labour and paving the way for quicker response times and enhanced performance. Advancements in AI have led to the development of intelligent virtual assistants, serving as competent office administrators that offer services 24/7. They help in managing tasks such as emails, scheduling meetings, and customer service, enabling the staff to focus on complex tasks requiring human touch and creative thinking. AI tools also eliminate the margin of human error, thereby improving the accuracy of tasks. For example, AI-powered accounting software can handle invoicing, payroll, tax preparation, and financial reports with impressive precision, eliminating errors that could result in financial loss or legal issues. The advent of AI has revolutionized data analytics, allowing businesses to make well-informed, strategic decisions. AI makes it feasible to process and interpret vast amounts of data in real-time, delivering valuable insights for small businesses. Through predictive analytics, AI can forecast custo  ( 6 min )

DevOps is no longer a buzzword—it’s the lifeblood of agile teams and solo developers who want speed, consistency, and scalability in their workflows. But what if you could learn and practice DevOps right from your Android device? Yes, you can. With Termux, you can turn your smartphone into a lightweight but powerful DevOps workstation. This guide kicks off our “From Zero to Hero – DevOps Workflow on Termux” series. Whether you're just starting or want to practice CI/CD pipelines on the go, this is your roadmap to becoming a DevOps powerhouse—all from your pocket. Why DevOps on Termux? Run servers with Nginx or Node.js Automate deployment scripts with Python or Bash Practice security hardening techniques for secure workflows Test CI/CD configurations locally before deploying th…  ( 8 min )

Langmem: A Lightweight In-Memory Key-Value Store for Natural Language Processing In the realm of Natural Language Processing (NLP), rapid access to frequently used data is crucial for efficient model training, inference, and application development. Traditional databases often introduce significant overhead for small, frequently accessed data chunks. Langmem addresses this issue by providing a lightweight, in-memory key-value store optimized for NLP tasks. This article delves into the purpose, features, code example, and installation of Langmem, highlighting its potential for boosting NLP performance. 1. Purpose: Langmem is designed to be a fast and efficient in-memory key-value store specifically tailored for NLP applications. Its primary purpose is to provide low-latency access to data…  ( 8 min )

The views and opinions expressed on this blog are my own and do not reflect those of my employer. Additionally, any solutions, APIs, or products mentioned are for informational and discussion purposes only and should not be considered an endorsement. Running Gemma 3 27B with Ollama on a powerful laptop or a gaming PC gives great performances. It’s very versatile, has good “world knowledge” and is good at text transformation (text summarization, rewrite, etc…). And Ollama also supports system prompts, so you can use it to give the model a persona and turn into a fun chatbot. Today you can run 8 billion parameters models on a recent Android device (check out Gemma 3n E2B and Gemma 3n E4B through Google AI Edge Gallery 😉). But no device has enough memory yet to run 27 billions parameters mod…  ( 9 min )

Imagine turning your Android phone into a portable web server that hosts a personalized dashboard — where you can monitor system resources, manage scripts, or even interact with APIs on the fly. That’s exactly what we’ll build today: a mini web dashboard in Termux. Whether you’re into penetration testing, ethical hacking, or just want a lightweight server for your small projects, this project is beginner-friendly yet powerful enough to grow with your skills. Plus, you can extend it to integrate with tools like Ngrok for remote access or even automate incident logs like the ones used by cyber incident response companies. Why Build a Dashboard in Termux? Portability: Your dashboard lives on your phone — perfect for quick tests or mobile deployments. Learning: Gain hands-on experience…  ( 7 min )

When we assign a value to a new variable in Rust, the value is usually moved. But here’s the catch ,this depends on the type of the value. Rust plays a little trick when you assign values: some get copied, others get moved, depending on their type. For primitive types like integers, booleans, and floats, the value is not moved. Instead, it is copied. Why? They implement the Copy trait. They are stored on the stack. They have a fixed size known at compile time. Copying them is extremely cheap and efficient. 👉 Example: let x = 5; let y = x; // y gets a copy, x is still valid println!("x = {}, y = {}", x, y); Both x and y remain valid because i32 or u32 implements Copy. For types like String, Vec, and most custom structs, Rust does not copy the value by default, it moves it. Why? They are…  ( 7 min )

If you’ve ever thought, “I need to build something small but useful in Termux,” then this 5-day CLI calculator project is for you. By the end of this guide, you’ll have your very own command-line calculator app running on your Android device — and more importantly, you’ll have learned enough to tackle bigger projects like mini networking tools or even lightweight automation scripts. Why a CLI Calculator? It builds your confidence with Python and Bash scripting. You’ll learn to structure your code logically — a skill that scales. It prepares you for automation tasks like log parsing or even network scans. Day 1 – Setting Up the Environment this post on initial configurations. Run: pkg update && pkg upgrade pkg install python git nano python --version Day 2 – Writing the Basic …  ( 8 min )

Imagine having your own AI assistant that runs entirely on your Android phone—no cloud dependencies, no expensive subscriptions, and full control over your data. With Termux and Python, you can build a lightweight but powerful AI assistant that listens, processes, and responds—all from your pocket device. In this project, we’ll explore how to set up your environment, build your assistant, and expand its features. Whether you’re into quick Termux projects or want to step into the world of AI automation, this guide is your launchpad. Why Build an AI Assistant in Termux? Most AI assistants are locked into ecosystems that harvest your data or limit what you can build. By running your assistant locally, you get: Privacy and control – No third-party servers needed. Offline functionality – Perfec…  ( 7 min )

Faz três meses que comecei a estudar React, e olha… tem sido uma montanha-russa de aprendizado. No começo tudo parecia muito confuso: hooks, props, state, context… eu me perdia fácil. Mas aos poucos fui entendendo como cada pedaço se encaixa e como usar as ferramentas de forma prática. Hoje consigo trabalhar com state, criar contexts para compartilhar dados, usar effects para controlar ciclos de vida e até aplicar reducers para organizar estados mais complexos. O mais legal é ver que cada erro ou dificuldade vencida me dá sensação de progresso de verdade. React não é só escrever código; é aprender a pensar na aplicação como um todo, organizar o fluxo de dados e encontrar soluções mais inteligentes para os problemas. Cada coisa que consigo implementar me deixa mais confiante e mostra que estou realmente aprendendo na prática. Ainda estou longe de saber tudo, mas a cada dia vejo evolução. Sinto que estou saindo da estagnação e realmente construindo algo com minhas próprias mãos. É desafiador, às vezes cansativo, mas extremamente recompensador. Aprender React está me mostrando que consistência e prática valem muito, e que cada passo conta na jornada de se tornar um desenvolvedor melhor.  ( 6 min )

Imagine that you've spent weeks building a set of custom Claude Code slash commands. Custom shortcuts that know your workflow, your coding standards, your deployment pipeline. Then one day they're just gone. Maybe you switched machines, maybe a config got corrupted, maybe you just forgot to version control them properly. That's what happened to me. I'd built numerous custom slash commands in Claude Code. /xgit ran my git workflows. /xdocs generated documentation. /xsecurity checked security requirements over and above deterministic tooling. I learned later it was because I'd configured them for one of the projects I was no longer using. When I switched contexts, everything disappeared. I'd built customization without making it portable or persistent. The irony wasn't lost on me—I've alway…  ( 8 min )

Every developer knows the feeling: a ticket sits in your backlog for days because it’s “too big” to start right now. You tell yourself you’ll tackle it when you have a solid 3-4 hours of focus time… but that perfect block never comes. That’s where the One-Hour Rule comes in. Why It Works 1. Momentum Beats Perfection: Starting is often the hardest part. Once you’ve invested an hour, you’ve broken the mental barrier - and chances are, you’ll keep going beyond the timer. 2. Shrinks Big Problems: Large, intimidating tasks get broken down into something manageable. That one hour often turns into a clear next step or a simplified scope. 3. Reduces Procrastination Loops: By lowering the commitment, you sidestep the “I don’t have enough time right now” excuse that keeps tasks stuck for days. 4. Fits into Any Schedule: Even on meeting-heavy days, you can carve out a single hour to push something forward. How to Apply the One-Hour Rule Pick a Blocker - Choose the task you’ve been avoiding. Set a Timer - One hour, no interruptions. Define a Mini-Goal - Something achievable in that time (e.g., set up the API client, write the first test, refactor one component). Stop on Time - Ending at the hour mark keeps the rule sustainable - and makes it easier to restart tomorrow. The Ripple Effect Tackling tech debt Investigating tricky bugs Starting a new feature spike One hour a day may not finish the work, but it will keep it moving. Conclusion 💡 Need to expand your dev team - fast and risk-free? 👉 Visit our website to scale your development team today!  ( 7 min )

Co-Working in Lincoln What Makes Co-Working in Lincoln Unique Co-Working in Lincoln is more than just renting a desk, it is about being part of a thriving professional culture. The city combines historic charm with modern amenities, creating an inspiring work environment. Members find spaces that are both accessible and affordable. Unlike larger cities, the coworking scene here feels welcoming and close-knit. Co-Working in Lincoln creates the perfect balance between tradition and innovation. The benefits of Co-Working in Lincoln extend far beyond affordability. These spaces provide professionals with flexibility in terms of memberships and commitments. Amenities include high-speed internet, private offices, and creative lounges. Members find relief from isolation and discover …  ( 9 min )

Introduction This is the first part of a two-article series, where we'll explore Microsoft's approach to implementing project templates. In the second (upcoming) part, we'll cover how to build our own custom template project, including initial files with placeholders for custom names. Starting a project from scratch is one of the most thrilling feelings for any developer. It's like standing at the starting line of a 100-mile run, full of energy, confident you'll go the distance. And when you finally reach the finish line, the sense of reward is unmatched. But just like in running, the first stretch feels awkward. Your muscles need time to warm up, and you have to find the right rhythm and pace before things start to flow naturally. The same happens when you kickstart a project. You don't…  ( 14 min )

Mastering Semantic HTML: SEO & Accessibility Benefits for Developers webdev #programming #html #accessibility Semantic HTML is more than just clean code—it directly impacts SEO performance and web accessibility. Search engines like Google rely on semantic tags for better indexing, while screen readers use them for logical navigation. In this guide, we’ll cover: Why semantic HTML matters for SEO and accessibility Code comparisons (semantic vs. non-semantic) Implementation best practices Testing methods for compliance Real-world applications Why Semantic HTML Matters For SEO Semantic tags help search engines: Understand content hierarchy Identify navigation and main content Improve search snippets For Accessibility Semantic HTML ensures: Screen readers can announce sections properly Logical keyboard navigation Better compliance with WCAG guidelines Code Comparison Example Non-Semantic Example html Home About  ( 6 min )

A practical, scenario-based breakdown of Chrome DevTools features that every developer should know Chrome DevTools is arguably the most powerful debugging toolkit available to web developers, yet most of us only scratch the surface. This guide breaks down DevTools by real-world use cases you encounter daily, showing you exactly which tools to use and how to use them effectively. Use the Performance Tab: Open DevTools → Performance tab Click the record button (circle icon) Reload your page or interact with it Stop recording and analyze the flame chart What to look for: Red triangles: Performance warnings Long yellow bars: JavaScript execution blocking the main thread Purple bars: Layout/reflow operations Green bars: Painting operations Pro tip: Use the "Screenshots" checkbox to see exactly …  ( 13 min )

We recently had to do an on-prem deployment (i.e. our SaaS is installed and run on the customer's own physical hardware, servers, and data centers, rather than on our cloud) for a customer—a particularly paranoid one (read: fintech 🏦). Our application is containerized, and we already had scripts and artifacts for different deployment scenarios (Helm charts for Kubernetes, CloudFormation for AWS ECS, etc.). But there was one thing we didn’t have ready: 👉 A list of all outbound API calls our application makes. This customer had a strict outbound firewall policy, and they needed an exhaustive whitelist of API endpoints. Until this point, we hadn’t really thought about outbound calls. Our own infra had no outbound restrictions, so we happily used libraries, SDKs, and third-party service…  ( 8 min )

Note: This guide presents Model Context Protocol as a proposed standard for LLM-tool integration. While the concepts and architecture described are based on emerging patterns in AI tooling, specific implementations may vary across different platforms. Large Language Models excel at understanding and generating text, but when it comes to executing real-world tasks—running tests, fetching data, or interacting with your systems—they need a bridge to your tools. The Model Context Protocol (MCP) provides exactly that bridge, offering a standardized way for LLMs to discover, understand, and safely interact with external resources and tools. This guide explores MCP's architecture, demonstrates practical implementations, and shows how to integrate MCP servers with modern development tools. Model C…  ( 11 min )

Since I started working in the software industry over 11 years ago, there's been one constant in technical hiring: the coding interview. Every company might tweak their process—some add system design rounds, others throw in culture fit sessions—but the coding interview has been universal. That's changing fast. Now that you can generate nearly correct code in seconds using an LLM, the traditional coding interview has become both obsolete and trivial. This is especially obvious in remote settings where candidates can—and let's be honest, do—just ChatGPT their way through problems. But the problem runs deeper than just cheating. Coding interviews were always broken. We just didn't want to admit it. They weren't testing problem-solving skills. They were testing how well someone had memorized L…  ( 9 min )

Semantic HTML-It is a powerful tool that improves accessibility, Search Engine Optimization(SEO) and performance. 1.How semantic HTML tags improve search engine crawling and indexing Semantic HTML uses HTML elements that convey meaning about their content such as ,,,,, and .These tags help search engine; Understand the hierarchy and purpose of page sections Locate key content for indexing Distinguish navigation and articles For example placing an article in shows importance while denotes related but secondary content 2.Technical implementation examples showing proper markup structure Technical SEO Implementation Semantic HTML SEO Metrics How Semantic HTML Improves SEO Semantic tags clarify page structure for crawlers. Related Resources Google SEO Guide © 2025 Your N…  ( 8 min )

For centuries science has searched for new ways to hear what the body hides. The stethoscope amplified the whispers of the heart. X-rays revealed the skeleton beneath the skin. Now a new frontier is emerging: microscopic particles that can capture invisible signals and turn them into information. This is neural dust, grains smaller than sand, scattered inside the body to monitor nerve and muscle activity. They transmit data wirelessly without the need for invasive electrodes. The term was born at UC Berkeley in the early 2010s. Today early prototypes already exist in animal testing. The vision is simple yet bold: scatter the dust, let it settle in the tissues, and transform silence into data. But neural dust is only part of the story. Bio sensors are already among us. They track glucose, monitor oxygen, detect proteins, and sense pathogens in real time. A patch on the skin, a chip in an organ, or a smart contact lens: all are examples of biosensors that expand the map of the human body. They move medicine from external observation to continuous internal listening, catching whispers before they become shouts. Between Healing and Surveillance Every revolution carries risk. These sensors can save lives, yet they also invite control. If companies, insurers, or governments demand access to this flow of data, do we still own our biology? A device meant to heal can also be a device that watches. A Future Written in Microscopic Letters The next transformation will not arrive with towering machines. It will arrive quietly, as particles drifting in veins, as sensors woven into tissue, as networks that whisper from within. Living with this dust inside us will redefine health, autonomy, and identity. The question is not if this future will come. The question is how we will live once it does. 👉 Read more at: [https://www.clickworlddaily.com/2025/08/neural-dust-and-bio-sensors-next.html]  ( 6 min )

Privacy-first AI that actually performs? Mozilla just cracked the code. Mozilla just dropped some serious numbers that should make every developer sit up and take notice. Firefox's on-device AI features are now delivering up to 10 times faster performance - and they did it without compromising the privacy-first approach that sets Firefox apart. We're talking about real, measurable improvements that you can feel immediately: PDF alt-text generation: Dropped from 3.5 seconds to 350ms Smart Tab Grouping: From laggy and frustrating to "quite snappy" Zero warm-up overhead: No more waiting for WebAssembly to initialize This isn't just another incremental update. This is Mozilla fundamentally reimagining how browsers handle local AI processing. The breakthrough came from a bold architectural de…  ( 8 min )

Imaginou poder ter a mesma liquidez da poupança em um imóvel, transferindo cotas digitais desse ativo com a mesma facilidade de enviar um pix? Pix, o Open Finance e o DREX. Não se trata apenas de inovação tecnológica, mas de uma mudança de paradigma: ativos, transações e contratos deixam de depender de sistemas centralizados para serem garantidos por uma rede distribuída, auditável e resistente a fraudes. Ai tu pode me perguntar: Mas o que é esse tal de BlockChain? O que isso muda na minha vida? E qual o papel ou como a AWS pode ajudar, seja com Amazon Managed Blockchain (AMB) ou via nodes no EC2 ou EKS? O famoso e invisível Nakamoto descreveu o blockchain como um sistema e registro baseado em consenso distribuído, eliminando a necessidae de uma "entidade de confiança" unica [Nakamoto, S. …  ( 11 min )

Introduction Semantic HTML is a way of writing code that helps computers and people understand the meaning and the structure of a web page, making it easier for search engines and assistive technologies to understand. Semantic HTML helps improve accessibility, better SEO, enhance user experience, improve code readability, improve performance etc. It uses special HTML tags that give the meaning of the content and help computers and people understand what each section of the page is for. In this article we’ll dive deeper at how semantic HTML helps improve SEO and accessibility, it’s comparison to non-semantic, benefits of using semantic and how to implement it effectively. What is Semantic HTML Semantic HTML means HTML that carries meaning tags that describe their purpose to the browser an…  ( 9 min )

Curious about AI but don’t know where to start? Here’s a curated collection of AI learning resources — all in one place, neatly organized, and easy to explore. 📚 What you’ll find inside: 🔗 Direct links to some of the best AI-focused GitHub repositories 👩‍💻 Info about the creators behind them ⭐ Popularity insights (so you know what the community loves) 📊 Regularly updated lists, so the content always stays fresh Whether you’re a student, beginner, or developer, this acts like a living AI library — giving you quick access to resources that can help you learn, experiment, and grow. ✨ Explore the repo here: https://github.com/fahadabid545/ai-learning-repos AI #Learning #OpenSource #GitHub #MachineLearning  ( 6 min )

Mixing Night with Ken Lewis is a free monthly live audio hang where 2× Grammy-winning mixer Ken Lewis (114 gold & platinum credits, 30+ years in the biz) takes you behind the hardware-driven mix bus. On 9/3/2025’s HARDWARE NIGHT he demoed go-to techniques, shared career-building tips, and answered all your burning questions on production, mixing, and recording. Hungry for more? Subscribe to Mixing Night Audio on TikTok, grab plugins like ALLCOMP or GreenHAAS, or book a mix critique via Ken’s SoundCheck. Don’t forget merch, the FADERS of the LOST ART YouTube channel, and the next live show—details at mixingnightaudio.com! Watch on YouTube  ( 6 min )

In today’s fast-paced tech world, staying updated on industry trends is essential. Here are a few areas shaping the landscape: 1. Artificial Intelligence (AI): 2. Cloud Computing: 3. Best Practices: Agile Development: Iterative workflows speed up delivery and foster collaboration. DevOps: Continuous integration and deployment streamline releases. Security by Design: Prioritizing security from the start reduces vulnerabilities. Keeping up with these trends helps developers and companies stay competitive and deliver innovative solutions.  ( 6 min )

INTRODUCTION 1.Content understanding and prioritisation:Tags such as header, main and footer clearly define the purpose and role of different content blocks for easy identification by the search engine crawlers and indexing of the most important part of a page. 2.Enhanced relevance for keywords:The use of semantic elements with relevant tags enables a search engine to accurately determine the topic of a page and its relevance to the user's queries leading to better ranking and matching. 3.Hierarchical structural interpretation:Semantic heading tags such as h1 to h2 establishes clear subheadings which helps search engines to know the relationship between different sections and the overall topic of a page. 1.Improved accessibility:As semantic HTML elements are exposed to technologies such a…  ( 9 min )

Understanding the Medallion Architecture: A Comprehensive Guide with a Use Case Data management is crucial for organizations aiming to optimize efficiency and reliability. Choosing the appropriate data architecture is vital to achieving this. One prominent architecture gaining traction is the Medallion Architecture, often structured in three layers: bronze, silver, and gold. This approach helps organizations systematically improve data quality and usability through progressive refinement. The Medallion Architecture organizes data into three key layers, each with a distinct role in the data lifecycle: Purpose: Capture and store raw, unprocessed data exactly as it arrives from various sources. Description: Serves as a landing zone preserving original data formats and contents, including …  ( 7 min )

*Introduction When most of us start building websites, we usually throw everything into s and s just to get the layout right. It works, but it doesn’t tell browsers or search engines what the content actually is. That’s where semantic HTML comes in. “Semantic” means meaningful. These are tags like header, nav, main, section, article, aside, and footer. They don’t just control layout—they explain the purpose of the content. Using semantic HTML makes your site: Easier for search engines to understand (better SEO). Easier for people using assistive technologies to navigate (better accessibility). How Semantic HTML Improves SEO Search engines like Google use bots to crawl your website. If your page is just a bunch of s, the bot has to guess what’s important. But if you use semantic tags, t…  ( 7 min )

🚨 Burnout in Tech: How to recognize it and build a sustainable career Imagine this: your team has been delivering at a steady pace, but every quarter leadership drops in “just one more must-have feature.” Deadlines don’t shift, priorities aren’t clarified, and bandwidth conversations rarely happen. Nobody’s pulling all-nighters, but everyone feels drained. After a while, motivation dips, standups get quieter, and you notice teammates joking about “just surviving the sprint.” That creeping exhaustion? That’s burnout. And it doesn’t always require long hours to set in—sometimes it’s born out of a system that’s constantly running beyond its sustainable limits. Tech is exciting, creative, and rewarding—but it also has unique stressors that make burnout more likely: 🚧 Ignoring team bandwid…  ( 8 min )

A post by Manas23601  ( 5 min )

The Unveiled Impact of Artificial Intelligence on Small Business Growth and Productivity As we dwell in the epoch of innovation and technology, artificial intelligence (AI) has undeniably left its imprint on diverse industries globally. However, its influence is not limited to giant tech corporations; small businesses are also increasingly harnessing its capabilities to amplify growth and productivity. This article delves into how AI impacts small businesses, analysing its role in enhancing efficiency and unlocking entrepreneurial potential. For small businesses, maintaining high productivity levels and efficient operations can be challenging, but AI technology offers promising solutions. AI-based applications and software can automate routine tasks, reducing manual labour and paving the way for quicker response times and enhanced performance. Advancements in AI have led to the development of intelligent virtual assistants, serving as competent office administrators that offer services 24/7. They help in managing tasks such as emails, scheduling meetings, and customer service, enabling the staff to focus on complex tasks requiring human touch and creative thinking. AI tools also eliminate the margin of human error, thereby improving the accuracy of tasks. For example, AI-powered accounting software can handle invoicing, payroll, tax preparation, and financial reports with impressive precision, eliminating errors that could result in financial loss or legal issues. The advent of AI has revolutionized data analytics, allowing businesses to make well-informed, strategic decisions. AI makes it feasible to process and interpret vast amounts of data in real-time, delivering valuable insights for small businesses. Through predictive analytics, AI can forecast custo  ( 6 min )

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The Unveiled Impact of Artificial Intelligence on Small Business Growth and Productivity As we dwell in the epoch of innovation and technology, artificial intelligence (AI) has undeniably left its imprint on diverse industries globally. However, its influence is not limited to giant tech corporations; small businesses are also increasingly harnessing its capabilities to amplify growth and productivity. This article delves into how AI impacts small businesses, analysing its role in enhancing efficiency and unlocking entrepreneurial potential. For small businesses, maintaining high productivity levels and efficient operations can be challenging, but AI technology offers promising solutions. AI-based applications and software can automate routine tasks, reducing manual labour and paving the way for quicker response times and enhanced performance. Advancements in AI have led to the development of intelligent virtual assistants, serving as competent office administrators that offer services 24/7. They help in managing tasks such as emails, scheduling meetings, and customer service, enabling the staff to focus on complex tasks requiring human touch and creative thinking. AI tools also eliminate the margin of human error, thereby improving the accuracy of tasks. For example, AI-powered accounting software can handle invoicing, payroll, tax preparation, and financial reports with impressive precision, eliminating errors that could result in financial loss or legal issues. The advent of AI has revolutionized data analytics, allowing businesses to make well-informed, strategic decisions. AI makes it feasible to process and interpret vast amounts of data in real-time, delivering valuable insights for small businesses. Through predictive analytics, AI can forecast custo  ( 6 min )

Semantic html refers to the use of HTMLtags that convey meaning about the content they contain both to the browser and to the developers. 1 Technical Writing Focus: How semantic HTML tags improve search engine crawling and indexing clear content structure performance metrics and measurable SEO improvement ** How to measure SEO Improvement** Set Baseline Metrics * Implement Changes * Track overtime * Technical Accessibility implementation Testing methodologies for accessibility compliance ** Choose Testing Methods ** Technical specification for WCAG guideline adherence Test Alternative* lt attributes with keywords 2*Key Technical Areas to cover* Technical testing and validation methods site performance Testing * Implementation Best practices Technical SEO Best practices Practical Application Integration with modern web development workflows version Control and Git workflows* Technical recommendation and standards Security and Index Hygiene standards -No orphan pages, All importance URLs should be linked internally. -Avoid mixed content, All resources must be HTTPS. -Canonical tag, Required on all canonical pages.  ( 6 min )

Hey everyone 👋, I’m Abir Biswas, a web designer & developer currently pursuing my B.Tech in CSE (AI). Dark Mode VS Light Mode I designed my portfolio to support both dark and light themes, because as developers we know the “dark mode vs light mode” debate never ends 😅. 🌙 Dark Mode: Sleek, modern, and great for late-night browsing. ☀️ Light Mode: Clean, minimal, and professional for daytime users. Tech Stack Here are the tools I used to bring this portfolio to life: ⚛️ React & Next.js – for fast, scalable frontend 📐 TypeScript – because type safety matters 🎨 Tailwind CSS – for styling and responsive layouts 🎞️ Motion – for smooth animations Quick Links 🔗 Portfolio Link | 🐙 GitHub | 💼 LinkedIn 💡 What do you think — are you a dark mode or light mode person? Drop your preference in the comments!  ( 6 min )

You've heard about using AI for code completion and debugging. That's table stakes now. My approach was different. I didn't just use AI to help my users; I used AI to help me build the application itself. This is where tools like Firebase Studio became an absolute game-changer. Think of it as a meta-tool. I used AI to: Accelerate my boilerplate: From setting up the initial server to handling authentication flows, AI-powered assistants helped me generate the foundational code. Using Firebase Studio, I was able to rapidly set up the backend services—database, hosting, and authentication—without getting bogged down in server management. Instead of spending days on repetitive tasks, I was able to stand up a basic version of the app in hours. Architect the system: I used conversational AI to br…  ( 7 min )

If your movie nights are turning into debugging sessions—audio drops, random mutes, lips that look dubbed—welcome to the wonderful world of HDMI ARC/eARC. The good news: most “my soundbar/AVR hates my TV” dramas come down to three things—EDID, CEC, and expectations about what ARC/eARC can actually do. Let’s untangle the alphabet soup and get you back to popcorn. ARC is the older “send audio back to the sound system over the same HDMI cable” trick. It’s handy, but bandwidth is tight, so it tops out at compressed stuff like Dolby Digital and DD+ (which can carry Atmos, but still compressed). eARC is the big sibling with a much wider pipe. It passes lossless formats—Dolby TrueHD Atmos and DTS-HD MA—straight from your TV’s apps or HDMI inputs to your AVR/soundbar. eARC doesn’t require HDMI 2.1…  ( 9 min )

A post by Ben Halpern  ( 6 min )

This time we’ll talk about something new, since the concept of ownership as intended in The Rust Programming Language is unique. It’s a very interesting chapter, since it’s about coding and security: dos and don’ts to write consistent programs. Are you ready to go on? Ownership in programming isn’t new per se. What’s new here is the meaning of it, since from a JavaScript perspective we’re talking about a mix of scoping and hoisting. Rust offer a stricter way to organize memory to provide safe programs: you should have some knowledge of C to understand. In short, ownership in Rust is a way of safely organize memory. It has nothing to do with the concept of possession: it’s a behavior to code safer and faster programs. This chapter mentions the assembly language, but you don’t have to learn …  ( 10 min )

Since we added diffuse lighting we might as well add specular too. The teapot is a marble texture that should be shiny. Let's start with a fixed value and build up to specular maps which were included with the texture I downloaded. First we'll start with an entity. We'll add a few properties to Material: useSpecularMap - a boolean for whether or not we're using a specular map specularMap - a specular map (we're not saying which kind but for now it'll be hardcoded as a roughness map since that's what my textures came with. eg. gloss = 1 - value). This could be expanded in the future. They are also full color so a sampled value is the same as a glossColor. specularSampler - the sampler for the specular map glossColor - the constant gloss color if not using a specular map. This encod…  ( 11 min )

AI agents are getting a lot of attention because they can make decisions, summarize content, or even reason about what should happen next. But on their own, they cannot log into your tools, send a message to Slack, or update a database. That is where n8n comes in. n8n (pronounced “n eight n”) is an open source automation platform. You can think of it as a way to connect different apps, APIs, and services without writing custom scripts every time. At its core, n8n works with workflows. A workflow is a chain of steps, and each step is called a node. A trigger node starts the workflow. For example: “when a new email arrives” or “when a webhook is called.” Action nodes are the steps that follow. They might call an API, transform data, or save information to a database. The important part is th…  ( 8 min )

A post by Ben Halpern  ( 5 min )

chan os.Signal is a channel used to receive signals sent by the operating system. This is very useful when you need to gracefully handle system signals (such as the interrupt signal SIGINT or the termination signal SIGTERM), for example, safely shutting down the program, releasing resources, or performing cleanup operations when receiving these signals. os.Signal? os.Signal is an interface defined in Go’s standard library to represent operating system signals. It inherits from syscall.Signal and provides a cross-platform way to handle signals across different operating systems. type Signal interface { String() string Signal() // inherits from syscall.Signal } chan os.Signal? chan os.Signal is a channel specifically designed to receive os.Signal type data. By listening to this …  ( 10 min )

When the Internet was designed in the 1970s, nobody imagined billions of smartphones, smart TVs, and IoT devices would one day be fighting for addresses. Back then, the addressing scheme seemed limitless. But by the late 1990s, cracks began to appear: IPv4, the backbone of the Internet, was running out of space. This is the story of how IPv4 hit its limits and how Network Address Translation (NAT) became the unsung hero that kept the Internet alive. IPv4 stands for Internet Protocol version 4. It uses 32-bit addresses, written as four numbers separated by dots (e.g., 192.168.0.1). With 32 bits, IPv4 can generate around 4.3 billion unique addresses. At first glance, 4.3 billion sounds like a lot. But consider: Every computer, phone, and server needs an address. Enterprises, ISPs, …  ( 9 min )

If you’ve ever felt limited by subscription fees or cloud service restrictions while experimenting with AI image generation, self-hosting might be the solution you’ve been looking for. The open-source community has produced a range of powerful tools that can run on your own hardware, giving you full creative control without ongoing costs. Whether you’re a developer building a new application, an artist seeking unrestricted creative freedom, or simply curious about AI-generated art, self-hosted solutions provide professional-grade results without external limitations. Here’s a look at some of the best tools available today. 1. Total Creative Freedom 2. Cost Savings 3. Enhanced Privacy and Security 4. Customization and Flexibility Stable Diffusion 3.5 Prompt: shot of vaporwave fashion dog in…  ( 8 min )

I will cover solution steps of the "Explosion" machine, which is part of the 'Starting Point' labs and has a difficulty rating of 'Very Easy'. This is a VIP machine so you'd need an upgrade from your free plan.  Introduction Command Line Interface-based Remote Access Tools have been around forever. A rudimentary example of this is Telnet , which was explored briefly in the Meow machine. . In its most basic configuration, Telnet is considered insecure due to lacking the ability to encrypt the data being sent through it securely. This implies that an attacker with access to a network TAP (Traffic Access Point) could easily intercept the packets being sent through a Telnet connection and read the contents, be they login credentials, sensitive files, or anything else. Telnet, which runs on por…  ( 8 min )

From Localhost to Live: The Essential Django Deployment Guide You've done it. You’ve built a Django app, and it’s running beautifully on your local machine with its virtual environment and all dependencies installed. Now comes the big question: how do you get this thing ready for the world to see? Deploying a Django app isn't just about copying files to a server. It's about transforming your development setup into a secure, efficient, and reliable production environment. This guide will walk you through the essential steps to bridge that gap. Before we touch anything, let's establish the most important principle: separate your configuration from your code. Your production environment will have different settings than your local one (different databases, secret keys, debug settings). Hard…  ( 8 min )

AI-assisted coding tools like Claude Code, ChatGPT, and GitHub Copilot are a godsend. I use them every day — for boilerplate, bug fixes, fast explorations, even documentation. I'm all in on AI as a productivity booster and creative accelerator. But they’re causing a shift in how we write software — and it’s not all good. That’s because we’ve reached the stage of AI adoption where some of us are vibe coding at work. And that might be heralding a development culture where intentional design gets thrown out in favor of convenience and speed. Vibe coding started as a way to quickly stand up prototypes or hobby projects. You prompt the model, get it to throw together a whole app or feature for you without much input – and voila! You can test your concept in minutes. It’s perfect for beginner d…  ( 10 min )

When designing a system that handles financial or operational transactions (e.g., orders, invoices, payments, shipments), one of the most important considerations is how transaction numbers are generated and managed. Uniqueness → Every transaction must be identifiable without confusion. Traceability → Makes it easy to track and audit transactions. Integration → When multiple services or systems are involved, transaction numbers must remain consistent. User Reference → Customers and staff often need a simple reference number for communication. Common Approaches to Transaction Numbers 1. Auto-Increment Serial (Sequential Numbers) Example: TRX-000001, TRX-000002, TRX-000003 Pros: Simple and human-friendly. Easy to track the count of transactions. …  ( 7 min )

Technology is more than a career path for me, it’s a space where curiosity meets problem-solving. I thrive at the intersection of cybersecurity, cloud technologies, and data-driven decision-making. Here’s what I bring to the table and what I’m available to collaborate on: Exploring Cloud & AI Turning Curiosity Into Code Cybersecurity & Cloud Security Analyst Threat Detection & Response Penetration Testing Vulnerability Management Why This Matters Whether it’s collaborating on cloud security initiatives, testing defenses, or exploring AI-driven solutions, I’m available to work on projects that challenge the status quo and build safer, smarter systems. Above all I am available for all things God and Jesus Christ, letting my faith guide my work, my learning, and my service to others.  ( 6 min )

It’s been 3 months or so now from when my journey into the split keyboards started and I blame my old cheap self and tech twitter who once again managed to “influence” me into buying things I probably should’ve acquired a long time ago. I’m not exactly a coder that is writing non-stop for hours like some of you might be, but I do type a lot to communicate over Slack and also I’m probably the top person on my team doing documentation and updates on playbooks or notes, so over time I started to develop stiffness on my wrists after a good session at work. Always imagined it would take me couple more years to reach the stage of having physical pain at work (emotional pain is always there).So after watching streams, YouTube videos and countless posts on tech twitter about how split keyboards we…  ( 7 min )

AR’s Hardest Problem? The Engineering Lesson from Google Maps Google software engineer Ohan Oda dives into the challenge of making Google Maps’ AR Lens work for visually impaired users, showing how a visual-first feature forced the team to rethink everything from sensor data and object detection pipelines to audio feedback and UI design. What seemed like minor tweaks snowballed into major technical and organizational overhauls. His talk highlights that true accessibility in AR isn’t just about clever code, but also about breaking down silos between ML, hardware, UX and accessibility teams. For the full deep dive and all the behind-the-scenes stories, check out the transcript on InfoQ. Watch on YouTube  ( 6 min )

In the world of React, refs are a powerful escape hatch that allow you to access DOM elements or React component instances directly. While most developers are familiar with the basic useRef hook (const ref = useRef(null)), its more advanced cousin, the ref callback, offers a level of flexibility and control that is essential for complex scenarios. This article will explore what a ref callback is, how it works, and the practical problems it can solve. A ref callback is a function that React will call when a component mounts, passing the DOM element (or class component instance) as its argument. Similarly, it will call the function with null when the component unmounts. Instead of assigning the ref.current property for you (as useRef does), you handle the node yourself. Basic Syntax: functio…  ( 8 min )

Can I Beat Bob if He Starts on the Green? Grant Horvat and Robby Berger from Bob Does Sports face off in a hilarious teeing challenge—while Robby must tee from the back edge of every green, Grant plays his usual front tees. Expect big drives, sneaky approaches, and plenty of banter as these two banter their way through an all-time great matchup. Packed with sponsor shout-outs—from golf threads at Primo Golf Apparel (use code Grant15) to Celsius energy, Takomo gear, Lab Golf putters (code GRANT10), and more—Grant also drops links to his channels, socials, Whoop group, and editor’s page so you can follow every swing and snag sweet deals. Watch on YouTube  ( 6 min )

Rogue Labyrinth Official Launch Trailer Get hyped for Rogue Labyrinth, a roguelite action-narrative adventure that throws you into a ever-shifting maze where rivals, monsters and a screaming crowd all gawk at your every move. Flip your environment on its head by launching chairs, barrels—heck, anything—as projectiles, then dive into wild bullet-hell skirmishes. Stack up hundreds of bizarre powers and artifacts to outlast the chaos, climb the ranks and prove you’ve got what it takes. Rogue Labyrinth is live now on Steam! Watch on YouTube  ( 5 min )

If you’re a developer, designer, or freelancer, having a personal portfolio is one of the best ways to showcase your skills. With Next.js, you can build a site that’s fast, SEO-friendly, and easy to deploy. Why Next.js? SEO benefits thanks to server-side rendering. Performance with image optimisation and static site generation. Easy deployment on Vercel (built by the creators of Next.js). Steps to Get Started Create a new project: npx create-next-app my-portfolio Add your pages: /about → your story /projects → showcase work /contact → let people reach you Customise the layout: Style it up: Deploy: Pro Tips Add a blog section with Markdown or a headless CMS. Use Framer Motion for smooth animations. Optimise images with Next.js’ component. Final Thoughts Your portfolio doesn’t need to be perfect on day one. Start with the basics, then keep improving as your skills and projects grow. With Next.js, you’ll have a professional-looking site in no time.  ( 6 min )

It avoids useEffect hell and handles: request state management, caching, refetching, retrying, "suspending" and error treatment; out of the box. It helps with Asynchronous State management. You probably don't need useEffect, specially for handling requests. import { useState, useEffect } from 'react'; const UniverseList = () => { const [isLoading, setLoading] = useState(true); const [error, setError] = useState(null); const [universes, setUniverses] = useState([]); useEffect(() => { const controller = new AbortController(); const loadUniverses = async () => { try { setLoading(true); setError(null); const response = await fetch('/api/universes', { signal: controller.signal }); if (!response.ok) { throw ne…  ( 7 min )

Introduction: The Vision of an Intelligent Travel Concierge AWS recently introduced Bedrock AgentCore, a powerful new capability packed with exciting features. Before diving into development, I highly recommend watching the official AWS YouTube walkthrough on Bedrock AgentCore to gain a solid understanding of its core concepts and potential. This is Part 1 of a series documenting my journey: from a foundational prototype to a sophisticated, multi-agent system on AWS. In this installment, I focused on the first goal: get a foundational agent running using Amazon Bedrock AgentCore. Before booking flights or planning itineraries, I needed: A secure, scalable runtime to host the AI agent. A clean abstraction to communicate with a Large Language Model (LLM). A simple HTTP interface, so future…  ( 8 min )

Vue.js + Convex Backend with Clerk Authentication 🔑 Full-Stack Tutorial Authentication and backend setup are often the trickiest parts of building a modern web app. If you’ve ever struggled with managing users, sessions, and real-time data in Vue.js, you’re not alone. In this tutorial, we’ll build a Vue.js application that uses: Convex → a reactive backend + database with real-time updates Clerk → a complete authentication and user management solution By the end, you’ll have a working full-stack Vue.js app with secure authentication, real-time user management, and a clean project structure. 🎥 Prefer video? Watch the full tutorial here: Why Convex + Clerk? 🔹 Convex Convex is an open-source reactive backend designed for app developers. While it’s oft…  ( 9 min )

Ready to master Git? This isn't just another tutorial. Our comprehensive Git learning path is your ticket to becoming a version control pro. We've designed it for beginners, guiding you from the absolute basics to advanced team workflows. Think hands-on, real-world experience, all within an interactive Git playground. Let's dive in and see what you'll conquer! Difficulty: Intermediate | Time: 7 minutes In Git, a fixup commit is a special type of commit that is used to fix a previous commit. It is typically used when you want to make a small change to a commit that has already been made, without having to create a new commit. Fixup commits are especially useful when you are working on a large project with many contributors, as they allow you to make small changes without disrupting the wor…  ( 8 min )

The "Attention Is All You Need" paper introduced the Transformer model, which shifted AI from sequential processing to a parallel approach built on attention. This architecture powers today's large language models. We'll break down its key ideas, focusing on why it replaced RNNs and how its mechanisms work. Before Transformers, RNNs dominated tasks like translation. They process sequences one step at a time, updating a hidden state with each word. Key issues: Long-range dependencies: In a long sentence, early words fade from memory by the end. This creates recency bias, where recent words dominate. Sequential processing: Each step depends on the previous one, blocking parallel computation. For example, in "The animal didn't cross the street because it was too tired," an RNN might link…  ( 9 min )

Steps to set up SSH on Ubuntu 22: sudo apt update && sudo apt upgrade 🔐 Step 2: Install OpenSSH Server sudo apt install openssh-server 🚀 Step 3: Start and Enable SSH Service sudo systemctl enable --now ssh 🔥 Step 4: Configure the Firewall sudo ufw allow ssh sudo ufw status 🌐 Step 5: Connect to the Server ssh username@server_ip ⚙️ Optional: Configure SSH for Enhanced Security sudo nano /etc/ssh/sshd_config sudo systemctl restart ssh  ( 6 min )

How to Implement Semantic HTML and are basically bones without labels—they hold things together but don’t explain what they are. Semantic HTML Using semantic HTML is important in ways like: Accessibility → Screen readers can navigate your site better. That means users with disabilities aren’t left behind. SEO → Search engines require structured pages. Maintainability → Another developer can open it months later and instantly understand what’s going on. Key Tags one Should Know Here are some of the most useful semantic elements: My Technical Blog Home Articles Contact Implementing Semantic HTML By Jane Doe – September 1, 2025 Semantic HTML improves accessibility and SEO... Related Posts Accessibility Basics Features You Should Use My Technical Blog Tips for Writing HTML Use headings properly → for the main title, for subsections, and so on. Don’t skip levels. Don’t overuse s → Replace them with semantic tags where possible. Keep it logical → Imagine your HTML as an outline. If it makes sense when read aloud, you’re doing it right. Conclusion Semantic HTML is about writing meaningful code. It makes your site more accessible, search-friendly, and future-proof.  ( 6 min )

Objects in JavaScript can have methods (functions as properties). They allow objects to perform actions and work with their own data using this. A method is simply a function stored inside an object. Use this to access properties inside methods. You can add methods dynamically even after creating an object. const user = { name: "Usama", age: 22, greet: function () { return `Hello, my name is ${this.name} and I am ${this.age} years old.`; }, }; console.log(user.greet()); // Hello, my name is Usama and I am 22 years old. ` `js user.setAge(25); `js console.log(user.isAdult()); // true js ${this.name}, ${this.age} years old.`; console.log(user.getDetails()); Methods = functions inside objects. this = current object reference. You can create, update, or add methods at any time. 💡 Save this as your cheat sheet and practice often! `  ( 6 min )

Говорят, в Королевстве Кода однажды поселился страшный дракон Спагеттиус. Он пожирал проекты и превращал их в хаос ошибок. Тогда Великий Архитектор созвал пятерых рыцарей, которые поклялись защищать программистов. Каждый рыцарь нёс свой закон. В королевстве жил Класс-Повар, который и готовил еду, и собирал налоги, и управлял армией: class RoyalManager { public void cookFood() { System.out.println("Готовлю еду..."); } public void collectTaxes() { System.out.println("Собираю налоги..."); } public void leadArmy() { System.out.println("Веду армию в бой!"); } } Но когда дракон напал, повар забыл о супе, налогах и войне одновременно. Королевство погрузилось в хаос. Тогда рыцарь объявил: class Chef { public void cookFood() { System.…  ( 8 min )

I. Introduction: The Evolution of Software Development The landscape of software development is in a perpetual state of flux, constantly evolving to meet the demands of an increasingly complex digital world. From the early days of manual coding and rudimentary debugging to the advent of integrated development environments (IDEs) and sophisticated version control systems, each era has introduced innovations that have reshaped how we build technology. Today, we stand at the precipice of another profound transformation, one driven by the burgeoning capabilities of Artificial Intelligence. The complexity of modern software projects has escalated exponentially. Applications are no longer standalone entities but intricate ecosystems, often distributed across multiple platforms, interacting with …  ( 13 min )

How to Implement Semantic HTML and are basically bones without labels—they hold things together but don’t explain what they are. Semantic HTML Using semantic HTML is important in ways like: Accessibility → Screen readers can navigate your site better. That means users with disabilities aren’t left behind. SEO → Search engines require structured pages. Maintainability → Another developer can open it months later and instantly understand what’s going on. Key Tags one Should Know Here are some of the most useful semantic elements: My Technical Blog Home Articles Contact Implementing Semantic HTML By Jane Doe – September 1, 2025 Semantic HTML improves accessibility and SEO... Related Posts Accessibility Basics Features You Should Use My Technical Blog Tips for Writing HTML Use headings properly → for the main title, for subsections, and so on. Don’t skip levels. Don’t overuse s → Replace them with semantic tags where possible. Keep it logical → Imagine your HTML as an outline. If it makes sense when read aloud, you’re doing it right. Conclusion Semantic HTML is about writing meaningful code. It makes your site more accessible, search-friendly, and future-proof.  ( 6 min )

AI agents have become integral to modern development workflows, transforming how we build and maintain software. While these tools are already powerful, they reach their full potential when enhanced with MCP (Model Context Protocol) servers that extend their capabilities through specialized tools and integrations. For developers running hosted applications or platforms, MCP servers offer a unique opportunity to provide users with natural language interfaces to your services. Consider a project management platform: instead of navigating through multiple screens, users could authorize an MCP server and then create tasks, update project statuses, or generate reports using simple conversational commands through their preferred AI client. Building secure MCP servers requires adherence to two cr…  ( 23 min )

In software development, trends come and go. Frameworks rise, languages evolve, but one principle has stayed relevant for decades: clean architecture. In 2025, with teams distributed across time zones and products scaling faster than ever, its importance is greater than many realize. What Is Clean Architecture? At its core, clean architecture is about separating concerns in your codebase. The business logic doesn’t depend on frameworks, UI, or databases. Instead, everything is organized in independent layers that only know what they need to know. That means: Your domain logic stays free of external dependencies. Frameworks and tools can be swapped with minimal pain. Code becomes easier to test, maintain, and extend. Why Developers Still Care in 2025 Refactoring Without Fear Better Testing Easier Onboarding A Practical Example Here’s a super simplified folder structure: /src Domain: Entities and core logic Use cases: Application-specific rules Infrastructure: Database or external APIs Interfaces: Controllers, UI, CLI, etc. This separation means you can change your database from MongoDB to Postgres without rewriting business logic. When Clean Architecture Works Best Large applications with long-term maintenance needs Systems requiring high test coverage Teams where multiple developers contribute daily It might be overkill for small scripts or prototypes, but once your project grows, the upfront investment pays off. Final Thoughts Clean architecture isn’t a shiny new framework—it’s a mindset. In 2025, as systems grow more complex and teams become more distributed, its principles provide the foundation for maintainable and scalable codebases. If you’re also thinking about how these practices tie into leadership and team alignment, this resource offers practical guidance on building stronger engineering teams around sustainable principles.  ( 6 min )

Distance metrics are essential tools in data analysis and machine learning, helping to measure the similarity or difference between data points. Choosing the right metric impacts the accuracy and interpretation of results, especially in high-dimensional spaces. Our Python library, "diemsim" implements Dimension Insensitive Euclidean Metric, which surpasses Cosine similarity for Multidimensional Comparisons. Getting Started: pip install diemsim GitHub: https://github.com/BodduSriPavan-111/diemsim  ( 5 min )

Two years ago, I walked into my first crypto event with zero knowledge on crypto. When the presenter asked a question, I raised my hand. Boom $3 straight to my wallet for a correct answer. I was genuinely excited. Real digital money I could actually spend, right? Wrong. What followed was a painful lesson in crypto's biggest UX flaw: I needed to buy a completely different token just to move the money I'd earned. Standing there confused, holding dollars I couldn't spend without SOL I didn't have, I thought exactly what millions of first-time users think: this whole thing is a scam. That frustration stuck with me. Not because I'm bitter about three dollars, but because I realised this broken experience is repeated thousands of times daily across the ecosystem. Kora is built to remove that fri…  ( 10 min )

Blockchain technology stands at the precipice of a digital revolution, promising to reshape how we understand trust, transactions, and technological infrastructure across global industries. Far beyond its cryptocurrency origins, blockchain is emerging as a transformative force with potential to redefine everything from financial services to supply chain management. At its core, blockchain is a decentralized, distributed ledger technology that ensures transparency, security, and immutability of digital transactions. Unlike traditional centralized systems, blockchain distributes data across a network of computers, making it extremely difficult to manipulate or hack. Decentralization: No single point of control Transparency: All transactions are publicly verifiable Immutability: Records…  ( 6 min )

Imagine transforming a simple text prompt into a high-quality image with just a few lines of code. Qwen-Image makes this possible by combining advanced image generation with precise text rendering, whether you’re working in English or Chinese. It handles everything from photorealistic scenes and impressionist-style paintings to clean, minimalist designs, adapting its output to your needs. On top of that, Qwen-Image offers powerful editing features: you can insert or remove objects, fine-tune colours and details, edit text directly within an image, and even adjust human poses—all through clear, natural-language commands. Behind the scenes, it also performs tasks like object detection, semantic segmentation, depth estimation and super-resolution, giving you a complete toolkit for creating an…  ( 9 min )

Ce guide vous accompagne étape par étape pour déployer votre application NestJS avec une base de données PostgreSQL sur AWS Lightsail, avec un sous-domaine personnalisé géré par Cloudflare. API NestJS accessible via https://api.votredomaine.com Base de données PostgreSQL containerisée SSL géré par Cloudflare Documentation Swagger accessible Un serveur AWS Lightsail (Ubuntu) Un domaine configuré avec Cloudflare Votre projet NestJS sur GitLab Accès SSH à votre serveur Votre projet doit contenir ces fichiers à la racine : votre-projet/ ├── src/ # Code NestJS ├── package.json ├── Dockerfile # Configuration Docker ├── docker-compose.yml # Orchestration des services ├── .env.production # Variables d'environnement production ├── .dockerignore └── .git…  ( 9 min )

Research is no longer just about finding information—it's about intelligent synthesis, strategic planning, and adaptive depth exploration. Today, I want to share how I built a sophisticated AI research agent using Gaia's decentralized infrastructure that doesn't just search the web, but thinks like a professional researcher. // Detect dark theme var iframe = document.getElementById('tweet-1920080467069726994-801'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1920080467069726994&theme=dark" } The Challenge: Beyond Simple Search Traditional search tools give you results. Research agents give you insights. The difference lies in their ability to: Plan strategically rather than search rando…  ( 11 min )

Batman’s gadgetry takes center stage as Adam Savage and Propstore’s Brandon Alinger peel back the curtain on the practical effects that brought iconic props to life—think the homing Super Batarang from Batman Returns, the trusty grapnel shooter and even one of Penguin’s most memorable umbrella tricks. It’s a hands-on look at how these pieces were engineered for real, no CGI required. On top of that, they tease Propstore’s EMLA: Los Angeles summer 2025 auction, where die-hard fans can try to snag these legendary movie collectibles for themselves. Shot by Joey Fameli and backed by Jinglepunks’ beats, it’s Gotham’s gadget lore served up Tested-style. Watch on YouTube  ( 6 min )

Optometry – Full Performance (Live on KEXP) Optometry took over the KEXP studio on July 10, 2025, delivering a sleek electronic set featuring “Not What You Expected,” “99,” “Surrender,” “Comets” and “Star Crossed.” March Adstrum handled vocals while John Tejada manned the electronics and guitar. Host Troy Nelson guided the session, audio engineer Kevin Suggs and mastering whiz Matt Ogaz ensured top-notch sound, and a trio of cameras (Jim Beckmann, Carlos Cruz & Scott Holpainen) plus editor Carlos Cruz captured every angle. Dive into the full performance at kexp.org or stream more from the band on their Bandcamp. Want more behind-the-scenes goodies? Join the KEXP YouTube channel for perks! Watch on YouTube  ( 6 min )

Hell is Us drops you into a war-torn, semi-open world with zero hand-holding—no map, compass or quest markers—so you’ll lean on instinct to explore, uncover secrets and survive. Expect intense third-person melee combat mixed with free-roaming adventure and mystery. Launching September 4 on PS5, Xbox Series X|S and PC (Steam), this action-adventure promises a raw, immersive experience for players craving a challenge. Watch on YouTube  ( 5 min )

Aegis Force: The Scorian War is an upcoming turn-based tactical fantasy RPG rocking a retro-modern 2.5D pixel-art style, clearly tipping its hat to classics like Final Fantasy Tactics and Shining Force 2. You can jump into a free 90-minute demo on Steam starting September 2 to see those strategic battles in action. Watch on YouTube  ( 5 min )

An honest take on the day-to-day reality of working as a software engineer: the routine, the mindset, and the lessons that actually matter. My earlier posts shared anecdotes with a few lessons sprinkled in. This one is more direct. After a few years in the field, here’s what I’ve actually observed about being a software engineer. If you’re learning programming, halfway there, or already technical but wondering what the job feels like day-to-day, this is what I wish someone had told me. Before I started, I imagined engineering as constant problem-solving and building. I thought I’d always be shipping features, surrounded by brilliant people who knew exactly what they were doing. The reality is different. Most of the job is routine. Some weeks I barely write code. Instead, I: test …  ( 7 min )

Building Chrome Dinosaur Game in Pygame (Part 4: Jumping Dino) Chukwuemeka Ngumoha ・ Sep 1 #python #pygame #gamedev #tutorial  ( 6 min )

In the last post, we learned a little about pygame events: What they are, how to create them and how to use them to achieve the effect of moving the Dino's legs as it runs. In this post, we'll be concluding our work on the Dino by giving it the ability to jump whenever it wants to avoid bumping into a deadly Cactus on it's path. But before we go any further, I need to make it clear that I'm assuming the following things about you: You understand basic English. Trust me, this is not a given. You possess basic knowledge of the Python programming language. If not, check out this coding resource to learn. You're following along on a Mac, Linux or Windows Laptop or Desktop. You can't use your smartphone for this I'm afraid. You can create your own custom pygame event without much fuss. If you c…  ( 13 min )

The last few years have pushed developers into an always-connected rhythm. Between remote work, endless Slack pings, late-night commits, and side projects, many of us live inside our screens more than outside them. But here’s the irony: while we spend hours optimizing code, we often forget to optimize ourselves. That’s where digital fatigue sets in — burnout, brain fog, and even physical effects like poor sleep or skin flare-ups. Understanding Digital Fatigue Digital fatigue isn’t just “being tired.” It’s a state of overexposure to screens, notifications, and mental multitasking. Symptoms include: Difficulty focusing on tasks. Irritability during coding sessions. Decline in creativity. Physical tension, like eye strain and stress breakouts. For developers, it’s especially dangerous because…  ( 6 min )

Ready to meet a new friend? The next lesson in Skillcrush 105 is about GitHub, Git’s best friend. There is a lot we can do GitHub, but today is the introduction. That means you will learn what GitHub is, why developers like to use it with Git, and how to create a GitHub account. Skillcrush defines GitHub as an “online platform that hosts users’ Git repositories”. Developers love GitHub! GitHub is great for sharing repos, making it an online portfolio for web developers. Employers also like GitHub, and it is often listed on job postings as a desired skill. Potential employers will look at your GitHub to see the projects you have worked on and how active you are on the platform. So it is essential to have a GitHub profile if you are in web development. Skillcrush encourages students to thi…  ( 12 min )

Introduction In the part 2 of the series, we ran Model Context Protocol (MCP) server with the defined tools and used Model Context Protocol Inspector and Amazon Q Developer plugin in the Visual Studio Code as MCP clients to list the available tools range and to talk to our application using the natural language and to search for the conferences by topic and start date range. We focused on the STDIO transport protocol. In this part of the series, we'll explore the Server-Sent Events (SSE) transport which enables HTTP-based communication between the MCP server and clients. It uses SSE for server-to-client messages and HTTP POST for client-to-server messages. With SSE we can expose our application as MCP Server to be accessible to everybody. You can find the sample application spring-mcp-c…  ( 9 min )

Django vs Flask vs FastAPI: A Complete Comparison When building a web application in Python, three popular frameworks often come up in discussions: Django, Flask, and FastAPI. Each has its own strengths, weaknesses, and use cases. Choosing the right one depends on your project requirements, scalability goals, and developer experience. Django Overview Django is a high-level, full-stack web framework designed for rapid development. It comes with batteries-included philosophy, meaning most of the essential features (ORM, authentication, admin panel) are built-in. Built-in ORM for database operations Authentication and Authorization out of the box Admin interface for managing data Template engine for rendering HTML Follows MTV (Model-Template-View) pattern Great for large projec…  ( 7 min )

Have you ever wondered how art and code can merge into something unique? Instead of spending days hammering and weaving, I built a small tool that generates patterns automatically. You just upload an image, adjust a few parameters like nail count and line density, and instantly preview the result. 👉 Try it here: https://stringartgenerator.art/#string-art-generator Some of the key features I worked on: Upload any image (JPG/PNG) Customize nail count, line density, and colors Preview results instantly Download patterns for DIY projects It’s still evolving, so I’d love to hear feedback from the community.  ( 6 min )

Part 1 dealt with the theoretical framework, touching on the analysis of the movements and a basic primer on waves, sine waves in particular. In this part, we shift gears to implementation. We’ll demonstrate how to map these properties directly into Kotlin code with Jetpack Compose to generate the animations. Below is what we will come up with: You will need to be familiar with: The Android Canvas Jetpack Compose Kotlin Coroutines General Android development Access the full code in this GitHub repository. To maintain the flow, we will follow the steps below: Draw the heart Build the animation: Implement the fade in and fade out Implement the size increment and reduction (scaling) Curve out the path using the Sine wave formula Bundle everything together to display the multiple heart …  ( 12 min )

For brevity, I split this into two parts. This part addresses the theoretical aspects before diving into the code. However, if you would like to skip and head to the code directly, access part 2 here. Animations bring life to Android apps, making them feel smooth, dynamic, and engaging. However, they aren’t just about moving objects. They’re about timing, curves, and natural motion. Sine waves are particularly useful for simulating periodic, smooth motions, ideal for bouncing or floating effects. In this example, we’ll build a WhatsApp-status-inspired animation where hearts bounce up from the bottom of the screen as shown below: Before proceeding, let's take some time to analyze the movements of the bouncing hearts briefly. We have five hearts. All of them start by gradually fading in, in…  ( 7 min )

Python is loved because it’s short, sweet, and powerful. With just a few lines, you can do things that take much longer in other languages. Here are some cool tricks that will make your code cleaner, smarter, and way more fun to write. 1. In-Place Swapping of Two Numbers 🔄 x, y = 5, 42 Output: 5 42 2. Reversing a String Like a Pro 🔁 word = "PythonRocks" Output: Reverse is skcoRnothyP 3. Joining a List into a String 📝 words = ["Coffee", "Makes", "Coding", "Better"] Output: Coffee Makes Coding Better 4. Chaining Comparisons 🎯 n = 15 5. Print the File Path of Imported Modules 🗂️ import os Output: 6. Use of Enums in Python 🎭 class Colors: Output: 0 7. Returning Multiple Values From a Function 🎁 def get_coordinates(): Output: 10 20 30 8. Most Frequent Value in a List 🔥 nums = [3, 7, 3, 2, 7, 7, 1, 3, 7, 2] Output: 7 9. Check Memory Usage of an Object 💾 import sys Output: 60 10. Print a String Multiple Times 🎶 word = "Python" Output: PythonPythonPython 11. Check if Two Words are Anagrams 🔍 def is_anagram(s1, s2): Output: True 12. Sort a Dictionary by Key and Value 📊 data = {3: "banana", 1: "apple", 2: "cherry"} Output: [(1, 'apple'), (3, 'banana'), (2, 'cherry')] 🎉 Final Thoughts And there you go— Python tricks to make your code cleaner and your brain happier! 🚀 Try them out in your next project and show off your Python wizardry 🧙‍♂️.  ( 7 min )

Table of Contents Introduction to Docker Docker Architecture Installation Docker Images Docker Containers Dockerfile Docker Volumes Docker Networks Docker Compose Docker Registry Best Practices Troubleshooting Advanced Topics Docker is a containerization platform that packages applications and their dependencies into lightweight, portable containers. Containers ensure applications run consistently across different environments. Consistency: "It works on my machine" → "It works everywhere" Portability: Run anywhere Docker is installed Efficiency: Share OS kernel, lighter than VMs Scalability: Easy to scale up/down Isolation: Applications run in isolated environments Containers Virtual Machines Share host OS kernel Each VM has full OS Lightweight (MBs) Heavy (GBs) Fast startup …  ( 13 min )

You've been building for hours, your GitHub is green as grass, but nobody sees the grind behind those commits 😤 Ever wished you could share your coding sessions the way runners share their workouts? 🏃‍♂️➡️💻 I created an app that tracks your coding activity and generates beautiful, shareable summaries - complete with languages used 🐍⚛️, commits made 📝, and time spent grinding ⏰ Check out what a session summary looks like: The idea came from wanting to celebrate those late-night coding sessions 🌙 and share progress with the dev community in a visual way ✨ Still early days, but the response has been encouraging 📈 Would love to hear what you think; GitHub Aura What would you want to see in your coding session summaries? 🤔💭  ( 6 min )

Building in public - the unfiltered edition Nothing says "I'm committed to this journey" like dragging yourself to the gym at 5:30am in the rain. It's that special kind of masochism that separates the dreamers from the... well, slightly more committed dreamers with better endorphin levels. You know that professor who hasn't taken attendance once all semester? The one you've strategically skipped because, let's face it, some lectures are just YouTube videos with extra steps? Yeah, TODAY he decided to take attendance. For the first time. Ever. Classic. Currently preparing for a hackathon by texting random people asking for guidance I don't even know I need. It's like asking for directions when you're not even sure where you're going. But hey, sometimes the best insights come from conversatio…  ( 7 min )

Key Concepts Launch Template Instance Types Amazon Machine Image (AMI) 🛠️ Task 1 – Hands-On Steps Step 1: Create a Launch Template User Data runs at launch, so your instance is ready with Jenkins & Docker pre-installed. Step 2: Launch Instances from Template Step 3: (Optional) Create an Auto Scaling Group (ASG) Now, AWS automatically manages the number of instances based on load  ( 6 min )

Credit: @avanichols_dev from Meme Monday  ( 5 min )

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Credit: @coral_zang from Meme Monday  ( 5 min )

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Domain-Driven Design (DDD) in PHP projects In recent years, I have worked on projects with high domain complexity: e-commerce platforms and ERP systems. In such systems, the traditional service-layer approach quickly reaches its limits: business logic grows uncontrollably, dependencies become tangled, and the codebase turns into a chaotic, hard-to-maintain structure. To address this, we applied Domain-Driven Design combined with layered architecture. This approach made it possible to isolate business rules from technical concerns, maintain clear boundaries between components, and keep the project manageable over the long term. This architecture is framework-agnostic. It fits both Symfony and Laravel, because the business logic (Domain + Application) does not depend on framework features.…  ( 10 min )

Why I Created FileSQL I previously built sqly and sqluv - both CLI tools for running SQL on CSV/TSV files. After maintaining these projects, I realized I was duplicating the same file-handling logic across both tools. So I thought: why not extract this functionality into a reusable library? The key insight was using Go's standard sql.DB interface. Every Go developer knows how to use database/sql - it's the de facto standard for database operations. By implementing this familiar interface, FileSQL becomes instantly usable for anyone who's written database code in Go. Back when I was building sqly and sqluv, I was constantly dealing with massive CSV files that needed complex transformations. Importing them into a real database was overkill, but processing them with basic tools was painful.…  ( 8 min )

Bagi kamu yang ingin menghubungkan bot Telegram dengan aplikasi atau sistem otomatisasi (misalnya notifikasi dari server, monitoring, atau integrasi dengan website), biasanya perlu yang namanya Chat ID. Chat ID ini berfungsi sebagai alamat tujuan agar bot tahu ke mana harus mengirim pesan: ke user pribadi, grup, atau channel. Nah, di artikel ini kita akan bahas cara cek Chat ID Telegram baik untuk chat pribadi maupun chat group. Buka Telegram. Cari bot kamu menggunakan username (contoh: @my_test_bot). Klik Start. getUpdates Akses URL berikut di browser, ganti TOKEN dengan token bot kamu: https://api.telegram.org/botTOKEN/getUpdates Jika berhasil, kamu akan mendapatkan respon JSON seperti ini: { "update_id": 123456, "message": { "from": { "id": 987654321, "first_name"…  ( 6 min )

🔹 1. Why Knapsack DP Matters? The Knapsack Pattern underpins many real-world problems: Resource allocation (maximize profit under limited budget). Subset/partitioning problems (e.g., can we divide items equally?). Choosing best combination of elements under constraints. Frequent in coding interviews (Amazon, Google, Meta). Knapsack = Pick or Don’t Pick decisions with constraints. Define state: $$ Two choices: Don’t take item i → dp[i-1][w] Take item i (if weight ≤ w) → value[i] + dp[i-1][w - weight[i]] $$ Problem: Given N items with weight[i], value[i] and capacity W, maximize value. Tabulation Code (Java): public int knapSack(int W, int[] wt, int[] val, int n) { int[][] dp = new int[n+1][W+1]; for (int i = 1; i <= n; i++) { for (int w = 1; w <= W; w++) { …  ( 7 min )

Dynamic Programming on 2D grids is one of the most popular DP patterns. Many real-world problems like pathfinding, robot navigation, game boards, obstacle courses, and resource collection can be mapped into grid-based DP problems. The key idea: Imagine you are on a grid (like a chessboard). At each cell, you make decisions (move right, move down, sometimes diagonally). The DP state keeps track of the best solution up to that cell (minimum cost, maximum coins, number of ways, etc.). By filling the grid step by step, you solve the entire problem. State → What does dp[i][j] mean? It usually represents the "best" (or number of ways, or cost) to reach cell (i, j). Transition → How do we reach dp[i][j]? Common moves: from top (i-1, j) or left (i, j-1), sometimes diagonally. Base Cases → Usually …  ( 9 min )

From Beginner to Pro – a curated list of hands-on visualization challenges that will sharpen your Matplotlib skills 🚀 Concepts Concepts Repo Questions Questions Repo 🏆 The Challenges S.No Category Challenge 1 Basic & Essential Dynamic Scaling: Plot y = sin(x) from 0–2π, auto-rescale with new data. 2 Basic & Essential Custom Style Sheet: Create .mplstyle file to set global defaults. 3 Basic & Essential Data Transformation: Plot log(y) vs x but ticks in original values. 4 Customization & Polish Annotated Events: Plot stock prices, annotate highest/lowest points. 5 Customization & Polish Dual Axes: Temperature (°C) + Humidity (%) with shared time axis. 6 Customization & Polish Custom Ticks: Show only quarterly months (Jan,…  ( 7 min )

Dynamic Programming shines in linear problems, where states depend on previous elements. These are the building blocks for harder multidimensional problems. When solving a linear DP problem: Define state → What does dp[i] represent? Base case(s) → Where does computation start? Transition → How do we compute dp[i] using earlier states? Answer → Usually dp[n-1] or dp[n]. 👉 Think of dp[i] as: the best/optimal/possible way up to index i. You can take 1 or 2 steps at a time. How many ways to reach step n? State: dp[i] = number of ways to reach step i Base case: dp[0] = 1, dp[1] = 1 Transition: dp[i] = dp[i-1] + dp[i-2] ✅ Java Code public class ClimbStairs { public static int climbStairs(int n) { if (n <= 2) return n; int[] dp = new int[n+1]; dp[1] = 1; dp…  ( 8 min )

Hi everyone! Today, I’d like to talk about a design pattern that you’ve probably heard of but might not use very often. In fact, many of us apply it without even realizing it—the Chain of Responsibility pattern. The core idea of this pattern is that you have several ordered handlers linked together in a chain. When the client sends a request, it first reaches the initial handler. That handler can choose to: process the request and pass it along, simply forward it to the next handler, or stop the chain entirely by rejecting the request. Each handler makes its own decision about what happens next. In essence, the Chain of Responsibility is a pipeline where the request must pass through handlers in a defined order. var app = builder.Build(); app.UseHttpsRedirection(); app.UseRouting(); app.U…  ( 13 min )

When I first started exploring Linux, one of the things that confused me most was the file system layout. Unlike Windows, where everything is neatly tucked under C:\, Linux starts with a single root directory /, and from there, everything branches out into different subfolders with very specific purposes. At first glance, it can feel overwhelming — why are there so many folders, and what do they all mean? But once you understand the logic behind the structure, navigating Linux becomes a lot more intuitive. Let’s take a quick tour of the key directories in the Linux file system 👇 /bin Essential binaries needed to boot and run basic commands. /sbin System binaries and admin tools, mainly for the root user. /lib Shared libraries and kernel modules required by /bin and /sbin. /etc Configuration files for the system and applications. /home Personal workspace for each user — your familiar "home directory." /dev Device files that act as an interface to hardware. /root Home directory for the root (superuser). /var Variable files like logs, caches, and backups. /usr User-installed applications, binaries, and source code. /tmp Temporary files (wiped after reboot, with sticky bit). /boot Bootloader files required to start the operating system. /proc Virtual file system exposing kernel and process info. /sys Virtual file system for interacting with devices and drivers. /run Runtime process data since the last reboot. /mnt Temporary mount point for sysadmins. /media Mount point for removable devices like USBs, DVDs, CDs. As I’m learning Linux, I’m curious: I’d love to hear your experiences and tips — feel free to share them in the comments! 🙌  ( 6 min )

📖 Blog 1: DP Fundamentals & State Definition Recurrence relations, overlapping subproblems, memoization vs tabulation. How to define state dp[i][j]. Base cases and transitions. Classic Example: Fibonacci, Climbing Stairs. Blog 2: 1D DP (Linear Problems) House Robber Maximum Subarray (Kadane’s Algorithm) Jump Game variations Min/Max cost path in linear setup Blog 3: 2D Grid DP (Matrix Problems) Unique Paths Minimum Path Sum Cherry Pickup / Grid Collection problems Obstacle Grid navigation Blog 4: Knapsack Pattern (Subset/Partition DP) 0/1 Knapsack Subset Sum Partition Equal Subset Sum Target Sum problems Blog 5: String DP (Subsequence & Substring) Longest Common Subsequence (LCS) Longest Palindromic Subsequence Edit Distance Regular Expression Matching Blog 6: DP on Subsequences (Patterns in Arrays/Strings) Longest Increasing Subsequence (LIS) Russian Doll Envelopes Maximum Length of Pair Chain Number of Increasing Subsequences Blog 7: DP on Intervals Matrix Chain Multiplication Burst Balloons Palindrome Partitioning Optimal BST Blog 8: DP on Trees & Graphs Diameter of Tree (DP on Trees) House Robber III (Tree version) DP with DFS (paths in DAGs) Tree Coloring / Independent Set problems Blog 9: DP with Bitmasking (Advanced) Traveling Salesman Problem (TSP) Minimum Number of Incompatibilities Count Hamiltonian Paths with DP Partitioning Problems with Bitmask Blog 10: DP Optimization Techniques Space Optimization (rolling arrays) Divide & Conquer DP Convex Hull Trick Knuth Optimization DP with Monotonic Queue 🔥 This will make you interview-proof and also system-design ready for optimization problems where DP plays a hidden role.  ( 6 min )

What industry leaders and U.S. policy agree must happen for AI to deliver real-world results. AI is reaching the point where cost and usability matter more than technical breakthroughs. Models like Gemini 2.5 Flash-Lite now process millions of words for pennies, making projects possible that once required enterprise-scale budgets. This changes who can participate, from large tech firms to startups and small teams. In parallel, U.S. policy is treating AI as both a security priority and a driver of economic growth. Industry and government are aligning on the same problem: how to translate capability into adoption. Priorities Shaping the Future Technology leaders are focused on performance, affordability, and usability. Policymakers are focused on infrastructure, workforce development, and t…  ( 7 min )

All your services / applications and the whole solution may be working from the functional perspective, however there are still many things to do before you can go to production. One such activity is making sure that there are no security vulnerabilities. Suddenly, a colleague of yours is asking: Why do we have this httpSecurity.csrf((csrf) -> csrf.disable()); (This is from Spring but you may see something similar with other frameworks.) You start scratching your head trying to remember what CSRF actually is... Or you know immediately because you've read this post :) Imagine two people, Alice and Eve, working with their computers, sitting next to each other. Eve is evil, trying to attack Alice, but to not show it, she will never look at Alice's keyboard or display. Instead, while Alice goe…  ( 7 min )

Contribution to open-source project on GitHub Find an Open-Source Project That Needs Contributions The easiest way to start contributing is to look at the projects you already use or want to use. Since you’re familiar with them, you’ll have a better understanding of how they work and where they can improve. Here are some common opportunities to contribute: Fix typos or broken links in the README or documentation. Update outdated documentation to make it clearer for new users. Report bugs or fix small issues you’ve encountered. Add tests or improve existing test coverage. Improve accessibility or translations to make the project more inclusive. Every open-source community is unique, with its own culture and participation rules. Once you’ve found a project you’d like to contribu…  ( 15 min )

Hey everyone I deployed this web app RetryLab maybe one or two weeks ago, so basically I was trying to connect to Zoho Inventory for an e-commerce project I was building but syncing all products at once was making me face the 429 status code. Anyways, long story short I had to build a retry-logic but I couldn't find a website/webapp that provides me with a failing endpoint to test my retry-logic so I built something myself, then from there got the idea of launching RetryLab (totally FREE) it gives you an endpoint to test your retry logic or any other thing you have in mind for a failing endpoint so I am here to get your honest opinion would really like to know is it worth it or not? or if you have any feedback or features to implement on top of RetryLab :)  ( 6 min )

Step 1: Set 1-Month Retention in CloudWatch Logs CloudWatch Logs can store data indefinitely by default, but that’s not ideal for growing infrastructures. To change the retention period: Go to the CloudWatch Logs console. Next, we want to stream logs to S3 continuously. The best way to do this is via Kinesis Data Firehose. Create a Firehose Delivery Stream Go to the Kinesis > Firehose console. Create or select an S3 bucket (we’ll handle lifecycle in the next step). Choose IAM role or let AWS create one for you. Connect CloudWatch Logs to Firehose Go to CloudWatch Logs > Log Group > Actions > Create subscription filter. Now that logs land in S3, we can apply S3 Lifecycle Rules to move them to Glacier Deep Archive after 30 days. Here’s how: Add Lifecycle Rule to the S3 Bucket Go to your S3 bucket. Add expiration: Expire objects after 6 years 30 days in CloudWatch 30 days in S3 Standard 5 years and 10 months in Glacier Deep Archive This minimizes cost while keeping you compliant with typical audit requirements.  ( 6 min )

Backtracking by itself explores the entire solution space, which can be exponential. But in many problems, we don’t need to explore every path. pruning comes in — cutting off branches of the decision tree that can’t possibly lead to an optimal (or valid) solution. This idea is also known as Branch & Bound in optimization problems. Without pruning → exponential time. With pruning → we can reduce the search space drastically. Pruning avoids wasted exploration of invalid or suboptimal branches. Constraint-based pruning – Stop exploring if current state is invalid. Bound-based pruning – Stop exploring if best possible result from this branch is worse than the current best. Early stopping – Return as soon as a solution is found (for decision problems like “does a path exist?”). Maximize profit …  ( 7 min )

At its heart, backtracking explores a decision tree: Each level of the tree = a decision to make. Each branch = one possible choice. Each leaf = a solution or a dead end. This perspective makes backtracking problems easier to visualize and structure. Helps you model recursive choices clearly. Useful for generating combinations, permutations, subsets, partitions, and expressions. Many problems can be solved by simply walking the decision tree systematically. Generate all subsets of a given set. [1,2,3] [] / \ [1] [] / \ / \ [1,2] [1] [2] [] / \ / \ / \ / \ 123 12 13 1 23 2 3 [] Each level = whether to include/exclude an element. import java.util.*; public class Subsets { public List…  ( 7 min )

Backtracking really shines when problems involve navigating a 2D grid, making decisions at each step, and exploring multiple paths. Word Search and related grid exploration puzzles. Given an m x n grid of characters and a word, check if the word exists in the grid. The word can be constructed from letters of sequentially adjacent cells (up, down, left, right). The same letter cell cannot be used more than once. 📌 Example: Board = A B C E S F C S A D E E Word = "ABCCED" → true Word = "SEE" → true Word = "ABCB" → false Start from every cell that matches the first letter. From each cell, try moving in 4 directions. Mark visited cells to avoid reuse. If we reach the last character → success. If all paths fail → word not found. 👉 This is a DFS with backtracking problem. public class WordSea…  ( 8 min )

Backtracking is especially powerful for problems where we need to explore all possible subsets or combinations of elements. This is one of the most fundamental and reusable patterns in coding interviews. Given a set of elements, generate all subsets (the power set). 📌 Example: [1, 2, 3] [[], [1], [2], [3], [1,2], [1,3], [2,3], [1,2,3]] Each element has two choices: Include it in the subset. Exclude it from the subset. 👉 This forms a binary decision tree, leading to 2^n subsets for n elements. void backtrack(int index, List current, int[] nums, List> results) { if (index == nums.length) { results.add(new ArrayList(current)); return; } // 1. Exclude nums[index] backtrack(index + 1, current, nums, results); // 2. Include nums[in…  ( 7 min )

Difficulty: Advanced Reading Time: 35 min read Last Updated: September 01, 2025 Why Hash Indices? In the last article, we explored Ordered Indexes and the B+-Tree — structures that shine when queries rely on order. They allow efficient range queries like: “Find all products priced between $100 and $500.” “List all usernames alphabetically between Alice and Bob.” But sometimes… order doesn’t matter at all. If your query is: “Find the record with ProductID = 30035” “Does username = 'Alice99' exist?” …then walking down a multi-level tree is overkill. You don’t need sorted traversal — you just need the answer, instantly. That’s where Hash Indices come in. Hashing transforms a search key (e.g., ProductID) into a bucket address using a hash function. Instead of traversing nodes, the DB jumps s…  ( 6 min )

Diving Deep into Backend Development with Rust and Go: A Perspective from Web Developer Travis McCracken As a passionate Web Developer specializing in backend development, I often find myself exploring the dynamic capabilities of programming languages like Rust and Go. These languages have been reshaping the way we think about building robust, efficient, and scalable APIs. Today, I want to share some insights from my experience working with these powerful tools, along with a glimpse into some of my favorite projects—real and fictional—that exemplify their potential. In recent years, Rust and Go have gained significant traction in the tech community. Their focus on performance, concurrency, and safety makes them ideal choices for backend systems that demand both speed and reliability. As …  ( 8 min )

From analyzing pixelmatch's bottlenecks to creating a faster algorithm with zero allocations and dynamic block sizing. It started during a usual day of visual regression testing. I was watching a CI pipeline going through hundreds of screenshot comparisons, each one taking precious seconds. I was using pixelmatch: the gold standard for pixel-level image comparison in JavaScript. It's an excellent library that's served the community well for years. But as my test suite grew and image resolutions increased, those milliseconds started adding up to minutes. I thought: "There has to be a better way." Before jumping into optimization, I needed to understand what pixelmatch was actually doing. I dove into the source code and found a beautifully simple algorithm: // Simplified pixelmatch flow func…  ( 9 min )

Backtracking is one of the most powerful paradigms in DSA. It is widely used in interview questions (FAANG, MAANG, Tier-1 product companies) and competitive programming to solve problems involving searching, decision-making, and constraints. In this blog, we’ll go step by step — intuition → template → example → variations. At its core, backtracking is brute force + pruning. We try out possible choices (explore). If the choice leads to an invalid solution → undo (backtrack). If the choice works → continue exploring deeper. 👉 Think of it as a DFS search on a decision tree. Every backtracking solution revolves around three parts: Choices – What options do we have at this step? Constraints – Which choices are valid? (Pruning) Goal – When do we stop recursion? void backtrack(State state, List<…  ( 7 min )

Blog 1: Backtracking Fundamentals – The Foundation What is Backtracking? (Brute force + pruning) General Backtracking Template (DFS + state changes + undo) Key components: choice, constraints, goal Example: N-Queens explained step by step Blog 2: Subset & Power Set Pattern Generate all subsets of a set (classic recursion tree) Variations: Subsets with duplicates Subsets of size k Power set of strings Code template Blog 3: Permutation Pattern Generating all permutations Variations: With duplicates String permutations Next permutation using backtracking Code template Blog 4: Combination & Combinatorial Search k-combinations (choose k from n) Variations: Combination sum (with and without duplicates) Letter case permutation Palindrome partitioning Co…  ( 6 min )

ClassAssists ClassAssists. Since then, we’ve learned a lot—about the gaps in education that still need to be filled, about the different kinds of learners who use our platform, and about how best we can serve them. It quickly became clear that we needed to build a different kind of product. One that goes beyond traditional study methods and gives every student the tools to truly personalize their learning. PrepIQ different? ClassAssists turns your own study materials into an AI-powered learning companion with three core features: ChatNote – Upload your notes and chat with them. Ask questions, highlight tricky parts, and get instant explanations that deepen your understanding. Upload & Generate – Take any note or course material and automatically generate MCQs, essay questions, and summar…  ( 6 min )

The artificial intelligence industry has been awash with grandiose claims about "deep research" capabilities. OpenAI markets it as "Deep Research," Anthropic calls it "Extended Thinking," Google touts "Search + Pro," and Perplexity labels theirs "Pro Search" or "Deep Research." These systems promise to revolutionise how we conduct research, offering the prospect of AI agents that can tackle complex, multi-step investigations with human-like sophistication. But how close are we to that reality? A comprehensive new evaluation from FutureSearch, the Deep Research Bench (DRB), provides the most rigorous assessment to date of AI agents' research capabilities—and the results reveal a sobering gap between marketing promises and practical performance. This benchmark doesn't merely test what AI sys…  ( 13 min )

In the world of version control, maintaining a secure and clean project history is crucial, especially for collaborative and open-source projects. This guide breaks down two essential best practices—signed commits and a linear history—and provides detailed steps on how to implement them. A signed commit is cryptographically verified to have been made by the person to whom it is attributed. This is a critical security measure in modern software development. It prevents malicious actors from impersonating trusted contributors and provides an undeniable audit trail. How It Works Signed commits rely on asymmetric cryptography using a public/private key pair. You use your private key to digitally sign your commits, and others can use your publicly available key to verify the signature. Privat…  ( 9 min )

In today’s fast-paced world of AI and software development, more and more people and companies are creating their own applications. You might publish them on platforms like Google Play, the App Store, or use GitHub Releases for desktop apps. These platforms handle versioned updates automatically—but there’s a catch: bureaucracy, registrations, and endless hoops before your app goes live. Think about it — where do you actually download apps like Discord, Brave, or Docker Desktop? Usually not through app stores. I built faynoSync to make this simple. faynoSync is a lightweight, open-source API server that gives you full control over your application updates. It works for desktop software, mobile apps, browser extensions, or custom binaries for metrics or monitoring. No external dependencies.…  ( 7 min )

Before your browser loads a webpage or your app connects to a server, something fundamental happens first: the devices must agree to talk. That agreement is called the TCP 3-Way Handshake — a short but powerful exchange that ensures both sides are ready for reliable communication. It happens so fast you don’t notice it, yet every time you open Google, send an email, or log into your bank, the handshake is there. Let’s unpack it fully. TCP (Transmission Control Protocol) is connection-oriented. Unlike UDP, which just fires data into the network, TCP sets up a reliable channel first. The handshake ensures: Reachability → Both client and server are alive Synchronization → Each side chooses a starting sequence number (so every byte of data can be tracked) Agreement → Both sides c…  ( 8 min )

Developer experience (DevEx) is a key focus of platform engineering. It's also a crucial success factor for any organization developing software. A recent paper by Abi Noda, Margaret-Anne Storey, Nicole Forsgren, and Michaela Freiler called DevEx: What actually drives productivity provides a framework for measuring and improving DevEx. Developers tend to be happier when they can be productive. When a developer experiences friction, it’s a sign that they can’t deliver as much value as they feel they could. The following can cause poor developer experience: Working on low-value tasks Interruptions Poor tools slowing them down Unrealistic deadlines It’s hard to calculate the volume of an irregular object. Archimedes discovered that submerging an object in water provides a simple way to find i…  ( 8 min )

Creating engaging videos no longer requires expensive software or advanced editing skills. With Vidnoz, anyone can generate professional-looking content using simple AI tools. Vidnoz offers features like lip sync AI, talking photo animations, video translators, and even photo dance effects. These tools make it easy to create content for social media, marketing campaigns, or personal projects. Vidnoz is a free AI video generator designed for creators, marketers, and businesses. Instead of learning complex editing techniques, users can upload images, scripts, or short clips and let AI do the work. The platform focuses on saving time while still producing quality results. Lip Sync AI free tool to match voices with character animations. Talking photo tool to turn still images into speaking ava…  ( 8 min )

Learn how to integrate Mailtrap with your v0 application to send transactional emails and manage contacts without writing complex code. This article is based on Mailtrap's official tutorial on how to send email using v0 and industry best practices for email integration. v0 account - to create contact forms and web interfaces Mailtrap account - to send emails with high deliverability Vercel account (optional) - to deploy your v0 projects Verify your email sending domain - Mailtrap allows you to send emails only from a verified domain. Follow this guide to set up domain verification. Get your API token - Ensure your API Token has admin access level to your domain and contacts. Prepare your credentials - You'll need your Mailtrap API key and verified sending domain for the integration. Start …  ( 9 min )

Imagine your data team as a bottleneck. Every time a business team needs to access, analyze, or update data, the request goes through this central team, causing delays, frustration, and a loss of agility. This model is the data monolith, often embodied by a single, centralized data lake or data warehouse that quickly becomes unmanageable. Product teams are ready to innovate, but they are slowed down by a dependency on a single source of truth, a single team, and a rigid process. The company's speed is a drag. So, how do we solve this puzzle? Should we just add more people to the central team? Or is the problem deeper, related to the very structure of our architecture? Data Mesh is not a new technology. It is a paradigm shift in architecture and organization. The idea is simple but powerfu…  ( 9 min )

Every time you stream a video, send a message, or download a file, your data travels across the internet using one of two transport protocols: TCP or UDP. Both live at the Transport Layer (Layer 4) of the OSI model, and both serve the same basic purpose: getting data from one application to another. But they do it in very different ways. Let’s explore the core mechanics of each, with step-by-step examples so you can see them in action. Imagine you’re downloading a PDF file from example.com. Here’s what happens: Connection Setup (3-Way Handshake) Your laptop sends a SYN message to the server → “I’d like to talk, here’s my starting number.” The server responds with SYN-ACK → “Got it, here’s my number, and I accept yours.” Your laptop replies with ACK → “Great, connection confirme…  ( 7 min )

Problems Solved: #118 Pascal's Triangle #66 Plus One This continues my daily series (Day 16: Constructive Row Generation + Carry Handling). Today I explored how to build Pascal's Triangle row by row using previous results and how to handle digit addition with proper carry management. For Pascal's Triangle, dynamic row generation is the key. Each new row starts and ends with 1, while the middle values come from the sum of two numbers directly above. This can be done in O(numRows²) time without extra complexity. For Plus One, directly converting digits into an integer can cause overflow in C++, so the robust way is to simulate addition with a carry. This ensures correctness for arbitrarily large digit arrays. Both problems demonstrate how iterative construction with local state (row or ca…  ( 8 min )

Microsoft is charting a new course in AI with the launch of its first fully in-house models: MAI-Voice-1 for lightning-fast, natural speech and MAI-1-preview, a consumer-focused text model trained on 15,000 NVIDIA H100 GPUs. MAI-Voice-1: AI That Speaks at the Speed of Thought Generates a full minute of audio in under one second using just one GPU, incredible efficiency. Already active across Microsoft tools like Copilot Daily and podcast-style explainers, a human-like, expressive voice made seamless. MAI-1-preview: A Foundation Model for Everyday Conversations Trained on a massive dataset using 15,000 NVIDIA H100 GPUs, paving the way for complex instruction-following. Optimized for consumer use cases, not enterprise workloads. Ideal for friendly, helpful digital companions. Now in public testing on LMArena, with rollout planned for select Copilot features in the coming weeks. Why It Matters: Moving Towards AI Independence This major pivot underscores Microsoft’s strategy to reduce reliance on external AI providers like OpenAI. Mustafa Suleyman, head of Microsoft AI, confirms the shift toward consumer-first models, leveraging Microsoft’s vast telemetry and ad data to build smarter companions. Long-term vision: orchestrate a suite of specialized AI models tailored to different user intents and contexts. Why This Matters for the Future Microsoft’s in-house AI rollout marks the start of a transformative era; faster, leaner, and more personalized AI experiences are now within reach. As MAI-Voice-1 and MAI-1-preview enter hands-on testing, we’re on the brink of a future where AI understands and engages, truly speaking our language.  ( 6 min )

A Smarter Way to Work in the CLI The command line has always been a place for power users — fast, flexible, and unforgiving. But what if your terminal could do more than just run commands? What if it could understand your intent, execute the right actions, and even pull answers from your own notes before acting? In this guide, we’ll start with ShellGPT — an AI-powered CLI companion that can chat, generate commands, and execute them directly in your system. And we won’t stop there. ShellGPT already comes with a built-in function called execute_shell_command, which allows it to run generated commands. We’ll add a brand‑new custom function call (tool) to its toolset — one that can query your knowledge store and return relevant documents directly inside your CLI session. Then we’ll take it f…  ( 12 min )

As a software engineer you've probably wondered at least once about the impact of Artificial Intelligence (AI) on your long-term career. Everywhere you look, AI tools are popping up that can write code, fix bugs, and even generate an entire app from scratch in seconds. At first, it feels cool seeing how much artificial intelligence is growing and how much better it helps you solve coding tasks, but then the bigger question creeps in: if AI keeps getting better, will it eventually replace me in the long run? Well, yes and no. AI is already replacing some software engineers and that trend isn’t slowing down, but it won’t replace all of us. That’s the part worth paying attention to and we’ll get into why in a moment, but first let’s acknowledge the obvious: this shift isn’t shocking. As eng…  ( 9 min )

SQL (Structured Query Language) remains the backbone of data retrieval and manipulation in the world of relational databases. Whether you’re a data analyst, data engineer, or business intelligence professional, learning SQL unlocks the ability to explore data, uncover insights, and build analytics pipelines with ease. In this article, part of our SQL Learning Series, you’ll go from SQL basics to advanced SQL techniques using real-world examples. A relational database management system (RDBMS) is a program that allows you to create, update, and administer a relational database. Relational databases store data in tables(rows and columns). Relationships between tables are established using keys: Primary Key (PK): Uniquely identifies each row in a table. Foreign Key (FK): Refers to the pr…  ( 11 min )

Hey everyone! 👋 If you're a developer, you know that the command line can be your best friend. It's powerful, it's fast, and it can make you feel like a wizard when you know what you're doing. But if you're just starting out, that blinking cursor can be a little intimidating. Fear not! In this guide, we're going to break down the essential commands that every developer should have in their toolkit. We'll cover everything from navigating your file system to managing processes, so you can spend less time fumbling around and more time building amazing things. Let's dive in! Navigating Your File System 📂 First things first, let's get you moving around your computer like a pro. These commands are the absolute basics for getting from point A to point B. pwd (Print Working Directory): Ever get …  ( 9 min )

From CLI to AI: Why the Command Line Needs Its Own Smart Layer The command line hasn't fundamentally changed in fifty years. We're still typing cryptic incantations, memorizing flags, and wrestling with syntax that feels more archaeological than architectural. Yet here we are in 2025, living in an age where AI can write essays, generate images, and debug code—but our terminals remain stubbornly primitive. This isn't nostalgia talking. It's a recognition that the most powerful interface ever created deserves better than blind muscle memory and Stack Overflow archaeology. Every developer knows the feeling. You're deep in flow, building something meaningful, when suddenly you need to manipulate a CSV file. Do you remember the exact awk syntax? The sed flags? The jq query structure? Of cours…  ( 10 min )

So you’re convinced that Svelte is worth your time (if not, go back and re-read previous article in the series 👀). Now it’s time to actually spin up a Svelte app and see it in action. By the end of this article, you’ll have: A working SvelteKit project running locally. A solid understanding of the project structure. The confidence to poke around without fear of breaking stuff. Let’s dive in. 🌊 Step 1: Installing SvelteKit 1) Choose a template 2) Choose a language 3) Pick extras (integrations) 4) Package manager 5) Run the app Step 2: The Project Structure 📂 src/ → Your main playground 📂 static/ ⚙️ Config & meta files Step 3: Routes & Pages — The Magic of File-Based Routing 🗂️ Naming rules you should know Step 4: Layouts — Reusing UI Across Pages 🧩 What’s going on here? 🕰️ Optional …  ( 16 min )

Hell Is Us ditches the hand-holding and throws you headfirst into a narrative adventure that expects you to learn on the fly. Instead of spoon-feeding every clue, it rewards curiosity and grit as you piece together its story through environmental hints. Combat leans into experimentation—mix and match skills, weapons and tactics to discover what works best. Exploration feels genuinely rewarding, with hidden secrets and side nooks that make every corner worth investigating. Watch on YouTube  ( 5 min )

How To Save Movies With the CEO of AMC Theaters Matt Belloni broadcasts live from L.A.’s El Rey theater with Bloomberg’s Lucas Shaw and AMC’s CEO Adam Aron, digging into the current state of the moviegoing biz. They break down why you’re bombarded with endless trailers and ads, and explore how AMC can stay relevant amid streaming giants. Plus, Adam Aron shares his surprisingly friendly take on Netflix partnerships and lays out fresh ideas for evolving the theatrical experience—think loyalty perks, premium events, and tech upgrades to keep audiences coming back for more. Watch on YouTube  ( 6 min )

If your support inbox looks like rush-hour traffic, you’re not alone. High ticket volumes slow response times, drain resources, and frustrate both customers and agents. The good news? AI chatbots are no longer novelty toys — they're practical tools that reduce support ticket volume, improve customer experience, and help teams scale smarter. In this post we’ll walk through five concrete ways AI chatbots reduce support ticket volume, plus real-world tips for implementation and the metrics to track to measure success. Reducing ticket volume isn’t just about fewer rows in a dashboard — it’s about healthier operations. Fewer repetitive tickets means: Lower operating costs (less time spent on routine replies). Higher agent morale (agents handle fewer trivial issues and more meaningful work). Fas…  ( 9 min )

Guardians of the Digital Realm: Mastering Input Validation for Web Security Introduction In an era where digital interactions are ubiquitous, web applications are prime targets for cyber threats. Among the myriad of security measures, input validation emerges as a fundamental yet often underestimated line of defense. Proper validation ensures that data received from users conforms to expected formats, preventing malicious payloads from infiltrating your system. The Significance of Input Validation Input validation acts as a gatekeeper, scrutinizing user inputs before they reach critical components like databases, servers, or other subsystems. Without it, applications become vulnerable to attacks such as SQL injection, Cross-Site Scripting (XSS), command injection, and more. These exploits …  ( 7 min )

Imagine you’re building a Student Management System where you need to store and retrieve student records. If you only rely on arrays or collections, the moment your program ends, all data vanishes. That’s why we use databases to persist information. But here comes the question: The answer is JDBC (Java Database Connectivity). JDBC is a Java API that allows Java applications to interact with relational databases. It’s like a translator between Java and SQL — you write Java code, it converts it into SQL queries, sends them to the database, and fetches results back into Java objects. At its core, JDBC provides a bridge between a Java application and a relational database (like MySQL, PostgreSQL, Oracle, etc.). Components of JDBC Architecture JDBC API (Java Application Layer) - The set of inte…  ( 8 min )

Introduction This article demonstrates how to create a DuckDB extension that generates interactive charts using Rust and the Iced GUI framework. We'll build a system that executes SQL queries and displays the results as bar charts in a native window, bridging the gap between database analytics and visual representation. Project Setup and Architecture Creating the Rust Library with FFI Building the C++ Extension Wrapper Implementing the Iced Chart Viewer Handling macOS Threading Constraints Dynamic Data Visualization Troubleshooting and Lessons Learned Our architecture consists of three main components: A C++ DuckDB extension that provides SQL functions A Rust library exposed via FFI (Foreign Function Interface) A standalone Iced application for rendering charts iced_duck/ ├── src/ …  ( 8 min )

Recently, I completed a rewarding Power BI project that transformed raw Retail Chemist Prescription Audit (RCPA) data into a dynamic, interactive dashboard. The challenge wasn’t just about visualizing metrics—it was about cleaning messy data, modeling relationships, crafting insightful DAX measures, and ultimately telling a story that stakeholders could act on. In this article, I’ll walk you through how I approached the project from start to finish, covering: 🔄 ETL in Power Query 🧠 Data modeling and relationships 📊 Key DAX measures 🎨 Designing visuals for business insights 🗂️ Project Overview Goal: Build a Power BI dashboard to analyze prescription performance by doctor, brand, region, and medical rep—while uncovering trends in doctor conversion and brand competiti…  ( 7 min )

When building modern web applications, storing data in the browser is essential for improving user experience, reducing server load, and enabling offline capabilities. But with multiple storage options available—LocalStorage, SessionStorage, IndexedDB, and Cookies—it’s easy to get confused about which one to use and when. Let’s break them down with a clear comparison. What it is LocalStorage is a simple key–value storage mechanism provided by the browser. Data is stored persistently, meaning it remains even after the browser is closed and reopened. Key features Capacity: ~5–10 MB (depends on browser). Data persists until explicitly cleared (by code or user). Synchronous API (may block the main thread if used heavily). Stores string data only (objects must be stringified). Use cas…  ( 7 min )

A post by Brightly Virya  ( 5 min )

What Is Supervised Learning? Supervised learning means training a model on examples where the correct answers (labels) are known. The model learns a mapping from inputs to outputs, then predicts labels for new data. Everyday examples: Email → spam or not spam Image → cat, dog, or other Customer history → will churn or not The goal: learn patterns that generalize from labeled history to future cases. Classification predicts discrete labels (binary or multi-class). A practical workflow: Define the problem and collect labeled data. Prepare features: clean, encode, scale, and engineer signals. Split data into train/validation/test (or use cross-validation). Train models and tune hyperparameters. Select metrics and evaluate. Deploy and monitor for drift. Common metrics: Accuracy (overall corr…  ( 7 min )

a recent Medium piece, Paying Cash in 2025? Gen Z Laughs at You, caught my attention. more than half of Gen Z already use crypto, not as a novelty, not for spectacle, but as part of their daily routines. wallets like MetaMask or Trust Wallet serve as extensions of identity. cards like WhiteBIT Nova turn crypto into a practical, everyday tool, seamlessly integrated into life. NFT marketplaces have become social spaces, stages for self-expression and creativity. even yield platforms, such as Bybit Earn, operate quietly in the background, growing alongside the daily flow. observing this, one sees a generation blending finance with existence, speed with reflection, and technology with identity. it’s tempting for older observers to dismiss it as a fad, yet there is purpose in their approach: crypto is treated as a living layer of life. as a father, I watch this from the sidelines. my own children are still too small for crypto, yet sometimes I wonder: perhaps it’s already time to teach them to mine Monero instead of spending hours on console games hehe. the world they inherit will move fast, and the tools they use may shape not just how they play, but how they live.  ( 6 min )

Large Language Models (LLMs) like GPT, Claude, and LLaMA are powering the latest wave of AI applications — from chatbots to code assistants. As developers, it’s important to know how these models work, what they can (and can’t) do, and how to use them effectively in your own projects. 🔹 What Are LLMs? An LLM is an AI system trained on massive amounts of text data. It learns patterns in language and uses that knowledge to generate human-like responses. Key terms to know: Tokens → Words are broken into smaller units (tokens). The model predicts the next token. Embeddings → Numeric representation of text that captures meaning. Context Window → How much text the model can “remember” at once. 🔹 Where Are LLMs Used? Chatbots → Customer support, knowledge assistants. Coding assistants → GitHub Copilot, Tabnine. Content generation → Blogs, marketing, reports. Data Q&A → Ask natural language questions on databases. 🔹 Using LLMs in Code Let’s try a quick example with Node.js + OpenAI API. import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY, }); async function runLLM() { const response = await client.chat.completions.create({ model: "llm-model", // replace with your chosen model messages: [ { role: "user", content: "Explain React in 3 bullet points" } ], }); console.log(response.choices[0].message.content); } runLLM(); 🔹 Strengths and Limitations ✅ Great at: text generation, summarization, and brainstorming. ⚠️ Weak at: real-time facts, math precision, hallucination (making things up). As developers, we need to combine LLMs with external data sources or rules to make them reliable. 🎯 Conclusion LLMs are changing the way we build applications, making natural language a new interface. They’re powerful but must be used carefully to avoid inaccuracies. In the next post, we’ll explore Prompt Engineering, the art of asking better questions to get better answers from LLMs.  ( 6 min )

Hidden Opportunities in the Digital Era Defining Data Analytics in the Contemporary Business Context Descriptive Analytics: Examines historical data to understand past performance and identify trends Diagnostic Analytics: Investigates the underlying causes of specific outcomes or events Predictive Analytics: Uses statistical models to forecast future scenarios and probabilities Prescriptive Analytics: Recommends optimal actions based on analytical findings and business constraints Technological Foundations Enabling Analytics Growth The accessibility of advanced analytics has dramatically increased due to several technological developments. Cloud computing platforms have democratized access to powerful computational resources, while user-friendly software interfaces have reduced the te…  ( 14 min )

Mastering Virtual Leadership: A New Approach for Remote Teams Managing a virtual team is a unique challenge that requires a complete shift in leadership style. Moving away from traditional oversight, effective virtual leadership focuses on guiding teams towards clear outcomes while fostering trust and autonomy. This blog post outlines the essential strategies for leading remote teams successfully, emphasizing the importance of structured communication and a results-oriented mindset. In the realm of remote work, successful leaders prioritize intentionality over proximity. Gone are the days of casual desk-side check-ins; instead, great virtual leaders actively cultivate a culture of clarity, connection, and accountability. They transition from task managers to results guides, ensuring team…  ( 7 min )

Transforming Africa's Digital Landscape: The Cloud Computing Revolution - DEV Community The African Cloud Computing Ecosystem: A Continent Ready for Digital... dev.to  ( 5 min )

As developers building modern cloud applications, managing identity and access is a critical piece of the puzzle. AWS offers two powerful services for this: Amazon Cognito and AWS IAM Identity Center. While both handle identity management, they serve distinct purposes. This post dives into their differences, use cases, and architectural patterns to help you decide which service fits your project. Let’s break it down for developers with code snippets, practical examples, and a clear decision framework. Amazon Cognito is a Customer Identity and Access Management (CIAM) service for authenticating and authorizing users of your web or mobile apps, while AWS IAM Identity Center is an Enterprise Identity and Access Management (EIAM) service for managing workforce access to AWS accounts and busine…  ( 9 min )

L'importance de la cybersécurité dans le paysage numérique actuel Dans un monde de plus en plus connecté, la cybersécurité est devenue un élément essentiel pour protéger les données sensibles et prévenir les attaques malveillantes. Les cybercriminels cherchent constamment à exploiter les failles des systèmes informatiques pour voler des informations confidentielles, causer des dommages financiers, ou perturber les activités en ligne. C'est pourquoi les professionnels de l'informatique doivent se doter d'outils performants pour sécuriser leurs réseaux et systèmes. Metasploit est un framework de tests de pénétration largement utilisé par les professionnels de la cybersécurité pour évaluer la sécurité des réseaux et applications. Conçu pour faciliter les tests d'intrusion, Metasploit offre …  ( 7 min )

Well, I made my portfolio and there is one feature I am proud of. I did not plan on it initially, but there arose the reason. I thought of putting something novel that is unique to my portfolio. I pondered over the thought and then it struck, I could put my name in my portfolio and then when clicked, I could show it's meaning and that's when it hit me that I could put a cloud animation. I chalked out the basic plan, I needed few transparent cloud images to begin with, looked up the internet, found the best ones in https://pngtree.com/so/cloud. Got 5 cloud images from there. Now let's discuss the system, what I needed was when clicked on the CTA, I need the clouds to appear from either side and keep on moving horizontally. And I needed the full window to be used for this animation, and t…  ( 9 min )

Managing infrastructure with Terraform is one of the most common practices in modern DevOps workflows. But when it comes to automation and governance, Azure DevOps pipelines make the process much smoother. In this blog, I’ll walk you through a real-world Azure DevOps pipeline that deploys Terraform infrastructure to Dev and Prod environments with manual approvals in between. Before setting up this pipeline, make sure you have the following in place: Active Azure Subscription You need a valid Azure subscription where your Terraform resources will be deployed. Azure DevOps Account An Azure DevOps project should be created to host your pipeline and repository. Self-Hosted Agent Pool A self-hosted agent is required to run Terraform tasks. This gives more control and avoids limitations of…  ( 8 min )

As web developer,we often overlook one of the most fundamental aspects of web development. **_semantic HTML_** Why Semantic HTML Matters:_ Semantic HTML refers to using HTML elements that convey meaning about the content they contain, while div and span acts as generic containers. **_Technical SEO Benefits_** Search engines rely on HTML structure to understand and index content. Semantic elements provide explicit clues about content importance and relationships: Content Hierarchy: Elements like indicate primary content, helping search engines identify what matters most Content Type: Tags like and specify content purpose Relationship Mapping: Structural elements show how content sections relate to each other **_Code Comparison: Semantic vs. Non-Semantic_** Let's examine a typical webpage structure implemented both ways: _Non- semantic approach: _Semantic approach:_ _Screen Reader Navigation _ Semantic HTML provides built-in accessibility features: / _ARIA Compatibility_ While ARIA attributes enhance accessibility, semantic HTML often reduces the need for redundant ARIA: _WCAG Compliance_ Semantic HTML directly supports several WCAG 2.1 success criteria: Info and Relationships are Programmatically determined Bypass Blocks: Landmark regions allow skipping repetitive content Headings and Labels: Proper heading hierarchy Name, Role, Value: Built-in semantics for components **implimentation and best practice** _proper documentation outline_ incorrect heading structure heading should follow a chronological order,it should follow a series from h1-h6 incorrect heading structure bring aboutconfusion and also makes the page look uneven and untidy here are some examples showing the difference between a correct heading structure and incorrect heading structure incorrect heading structure: correct heading structure form semantics form are used to collect data which is then stored and can be used here is an example of a form structure  ( 6 min )

A few months ago, I started a tradition: each time I release a new version of Astronoby, I write a blog post showing how Ruby and the amateur astronomy communities can use it to compute astronomical events. Today, to celebrate v0.8.0, we'll compute the best days for planetary observation. This illustrates Astronoby's new caching and performance improvements, and hints at features coming in future versions. But first, a bit of context. In amateur astronomy, when we say planetary, we usually mean three types of bodies: the planets the Moon the Sun If you jumped because the Moon and the Sun are not planets, you're right, but please hear me out. Planetary observation differs from deep sky observation. Deep sky objects are very different from planets, usually much fainter. But also they always …  ( 14 min )

Building Components: From Boring Buttons to Receipt-Chomping Cards 🧱🎨 Time to add some meat to our React Native skeleton! Today we're building the core components that'll make our Purchase Tracker actually track purchases (revolutionary, I know). Think of this as interior decorating, but for apps — and way more fun than picking out throw pillows. We're building three main characters for our app: PurchaseCard 💳 — The star of the show, displays purchase info CameraView 📸 — The receipt scanner (currently fake, but it has dreams) Navigation 🧭 — The GPS for our app (gets you where you need to go) Let's dive in! This little beauty turns boring purchase data into eye candy. It's like Marie Kondo for your receipts — everything has its place, and it sparks joy (or at least doesn't spark rage…  ( 10 min )

Memory management is one of the most important concepts in Java. As developers, we often create objects, call methods, and manage data without worrying about where everything is stored. That’s because Java takes care of memory allocation and deallocation using its own memory model and the Garbage Collector (GC). It stores Objects, arrays, wrapper class objects, and instance variables. Managed by Garbage Collector (GC). Heap memory is shared by all threads. Example: Student s = new Student(); // Stored in Heap Stores Method calls, local variables, and references to objects in the heap. Each thread has its own stack. Memory is cleared once the method execution is completed. Example: public void addNumbers() { int a = 10; // stored in Stack int b = 20; // stored in Stack int sum = a + b; // sum also in Stack } It stores Class-level data: Static variables Class metadata Method bytecode String Constant Pool (SCP) Shared by all threads. Example: class Test { static int counter = 0; // stored in Method Area } Each thread has its own Program Counter Register. It keeps track of the current instruction being executed. Helps in switching between threads (multithreading). Used when Java interacts with native code (C/C++). Supports execution of native methods through the Java Native Interface (JNI).  ( 6 min )

The Go team has just released Go 1.25, and it's packed with features that modern cloud-native developers have been waiting for. This release doesn't introduce breaking language changes, but it delivers significant runtime improvements, experimental features, and developer experience enhancements that make it one of the most impactful releases in recent memory. The biggest game-changer in Go 1.25 is the introduction of container-aware GOMAXPROCS. If you've ever deployed Go applications to Kubernetes and wondered why your carefully set CPU limits weren't being respected by the Go runtime, this update is for you. What's Changed: On Linux, the runtime now considers cgroup CPU bandwidth limits If your container has a CPU limit lower than the number of logical CPUs, GOMAXPROCS automatically adju…  ( 9 min )

A Primary Key is a column (or set of columns) in a table that uniquely identifies each row. No two rows can have the same value, and it cannot contain NULL. 📌 Example: In a Customers table, customer_id can be the primary key because each customer has a unique ID. A Foreign Key is a column (or set of columns) in a table that references the primary key in another table. It establishes a relationship between tables and ensures referential integrity. 📌 Example: In an Orders table, customer_id can be a foreign key referencing the customer_id in the Customers table. This links each order to the correct customer. ✅ Difference: Primary Key → Uniquely identifies rows in its own table ✅ Foreign Key → Establishes a relationship with a primary key in another table 🗒️ 💡 Pro Tip: Every table should have a primary key. Foreign keys ensure data consistency and prevent orphaned records. Using indexes on foreign keys speeds up JOIN queries.  ( 6 min )

Articles 🔍 A Conceptual Model for Storage Unification Presents a practical conceptual model for storage unification that treats data virtualization as the core abstraction and enumerates seven design considerations: internal vs shared tiering, bidirectional format fidelity, client- vs server-side stitching, integrated vs external tiering jobs, direct vs API access, lifecycle ownership, and schema evolution. Emphasizes primary-system ownership for safe shared-tiering and maps specific trade-offs for Kafka, Iceberg/lakehouse and HTAP integrations. 🔍 Add Remote MCP Server with OAuth to Your Existing API Practical, MCP-focused walkthrough: converts a Zuplo-hosted API into an OAuth-protected remote MCP server by adding an /mcp handler, enabling oAuthResourceMetadata for discovery, installin…  ( 16 min )

AKS uses the KMS (Key Management Service) plugin to encrypt secrets stored in etcd with a Key Vault key (your CMK). See Microsoft’s KMS docs. (Microsoft Learn) KMS requires a user-assigned managed identity (system-assigned identities are not supported for KMS). You must grant that identity key permissions on the Key Vault before enabling KMS. (Microsoft Learn) DO NOT delete the Key or Key Vault once KMS is turned on — doing so will make secrets unrecoverable. (Microsoft Learn) # your cluster info (already provided) RG="MiddleWare-Dev-RG" CLUSTER="hil-middleware-staging-cluster" LOCATION="" # e.g. eastus2 # choose names KV_NAME="" KEY_NAME="" IDENTITY_NAME="" az --version # need recent az (see docs),…  ( 9 min )

Why Speed and Agility Matter More Than Ever But the traditional methods of B2B data exchange, like batch EDI processing, can’t always keep up with the real-time expectations of modern commerce. This has set the stage for next-generation integration models. The Limits of Batch EDI The Rise of Real-Time APIs Up-to-the-minute inventory visibility. Faster order processing and fulfillment. Improved collaboration with trading partners. Enhanced customer experience across the value chain. According to IDC, companies adopting real-time APIs in supply chains see a 35% reduction in operational delays and a 23% increase in customer satisfaction scores. Hybrid Integration Is the Way Forward This hybrid model is gaining traction because it allows companies to future-proof their infrastructure while maintaining backward compatibility. Conclusion Innovators like Orderful are enabling this shift, bridging the gap between EDI and APIs, and helping organizations embrace the future of real-time data exchange.  ( 6 min )

Introduction Airtable has revolutionized how teams manage data, blending the simplicity of a spreadsheet with the power of a database. But its true potential is unlocked when you connect it to other services. One of the most powerful ways to do this is through Airtable webhooks, allowing you to send data to external applications in real-time whenever a change occurs in your base. However, developing and testing these webhooks presents a common challenge: Airtable needs to send data to a public URL, but your development environment runs on localhost, which is inaccessible from the public internet. This guide solves that problem. We'll walk you through the entire process of setting up a local Node.js and Express application to receive Airtable webhooks. You'll learn how to use Tunnelmole, …  ( 11 min )

Google Chat has become a central hub for team communication, and its real power for developers is unlocked through webhooks. Webhooks allow you to integrate external services, build custom bots, and automate workflows directly within your chat spaces. This guide will walk you through everything you need to know about using Google Chat webhooks, from sending simple notifications to building interactive bots that can respond to user commands. We'll cover two primary use cases: Incoming Webhooks: Sending messages from your applications into a Google Chat space. This is perfect for notifications, alerts, and reporting. Outgoing Webhooks (Interactive Apps): Receiving messages from Google Chat in your application. This allows you to build bots that respond to slash commands and user interactio…  ( 12 min )

Following up on my career pivot story - writing that first article helped me remember so many details I'd forgotten. Since it seemed to connect with folks, I figured I'd share what happened next - maybe it'll help someone avoid the same mistakes I made, or at least make them smile. While learning Python, I had one clear goal: build desktop applications. Why? Well, the 90s were only 2 decades ago - practically yesterday, right? This naturally led me to combine tutorials with building actual projects - and I can personally vouch for how valuable this approach is. Every morning, I'd sit at my computer like I was going to work - 8 AM to 6 PM, treating Python learning as my full-time job while simultaneously developing my first real application. I didn't have a choice - baby on the way, unempl…  ( 10 min )

{ Abhilash Kumar Bhattaram : Follow on LinkedIn } ✨ 6th Edition of #OracleBootCamp is here! ✨ 📅 Date: 6th September 2025 This time we’re diving into: The only agenda: Learn and Share 💡 👉 Register here: https://forms.gle/jUo4uuoiRVVNdy7x9 📌 Let’s connect, explore Oracle tech, and make this a fun day of knowledge sharing.  ( 6 min )

What is Server-Sent Event (SSE)? Server-Sent Events (SSE) is a unidirectional real-time communication technology where a server can push events/messages to the client over a single long-lived HTTP connection. Based on HTTP/1.1 (or HTTP/2). Uses the text/event-stream content type. Works natively in browsers with EventSource API. Unlike WebSockets, SSE is server → client only (no client → server messages except normal HTTP requests). Client opens connection The browser (or client) makes a request to a server endpoint: const evtSource = new EventSource("/sse/stream"); Server responds with text/event-stream The server keeps the connection open and pushes events in this format: data: Hello World data: Another line data: – the actual message blank line = end of event suppor…  ( 7 min )

PostgreSQL is one of the most popular open-source relational databases, trusted for its stability, performance, and reliability. Whether you’re building web apps, APIs, or data-driven platforms, PostgreSQL is often the go-to choice for developers. In this tutorial, we'll go through how to deploy a PostgreSQL docker container on a VPS. For this, we'll be using Serversinc, a server management platform that makes deploying apps and services a breeze. You’ll also learn two recommended methods for connecting to PostgreSQL on Serversinc: Connecting an application on the same server directly to Postgres Accessing Postgres from your local machine or another remote server using an SSH tunnel To begin, you’ll create a new application inside the Serversinc dashboard that will run the official Postgre…  ( 9 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Underfoot is a chatbot that finds locals-only, off-the-map places you won’t see on Yelp or TripAdvisor. You give it a location and intent (music, coffee, hiking, spider farms…) and it returns unique results with a “Stonewalker” rating. Each query also adds anonymous “whispers” to the cache, so the dataset grows as people use it. Repo: CheckMarKDevTools/underfoot-underground-travel-planner Go easy on him, he's not been in the world very long! Underfoot - The Stonewalker Agent Central AI agent (GPT-4.1-mini) acting as The Stonewalker. Triggers: Webhook + Chat. Sources: Google SERP (backup), internal cache, Reddit, Facebook events. Output: structured parser + secondary normalizer. Error handling: Discord notifier (very loud). Planned: Bright Data Google Maps dataset (undelivered). Technical Implementation System Instructions: Stonewalker persona. Model: GPT-4.1-mini. Memory/Cache: stores normalized results for reuse. Nodes: HTTP Request, Function (normalize/dedupe), Discord notifier. Bright Data Verified Node Planned integration with a Google Maps dataset. Didn’t land before the deadline, so SERP acted as backup. First hackathon since college — and I remembered why I avoid them. I can’t do simple. Built, scrapped, rebuilt. UI detours, caches, ADRs, Discord server, memory blowups in n8n. Dataset never arrived, so I hacked a backup. Up to the last second, I was still trying to do everything. But I learned n8n, Bright Data, Supabase, Leonardo, React, and more — mission accomplished. Full juicy write-up coming once I’ve recovered. And I realized 2 seconds after the fact that neither included a footer to say so 🫠  ( 6 min )

What if your organization could roll out secure video visits, e-prescriptions, payments, and EHR sync in weeks — not quarters? That’s the promise of a white label telemedicine app: a configurable, compliance-aware stack you can brand from end to end, so your team focuses on care pathways and customer experience instead of reinventing infrastructure. What a white label telemedicine app actually is Why this model wins right now Privacy obligations are clearer. U.S. HIPAA guidance lays out expectations for secure telehealth technology, access controls, encryption, and documentation; mature vendors ship with those safeguards to reduce your compliance thrash. Interoperability matured. FHIR became the lingua franca for health data exchange, letting an app plug into EHRs, population health tools, and your analytics stack without custom one-off integrations. Anatomy of a high-performing white label telemedicine app Build vs. buy: decide it in one meeting Regulatory posture: Can you staff privacy/security and clinical QA today? If not, anchor to a platform that ships with auditable controls and policies aligned to HIPAA guidance. Interoperability burden: Do you need to live inside multiple EHRs? Favor vendors with proven FHIR endpoints and reference implementations. The 90-day launch plan Metrics that move the program Monetization models that fit healthcare reality Composite scenario What to demand from vendors (short checklist) Common pitfalls — and quick fixes Where fintech instincts give you an edge The bottom line A white label telemedicine app lets you deliver branded, secure, interoperable virtual care without losing a year to plumbing. Anchor the rollout to recognized guidance (WHO for implementation, HHS for HIPAA expectations), make FHIR your integration contract, and treat privacy and reliability as product features — not compliance chores. Do that, and you earn something scarce in digital health: patient trust, clinician adoption, and a durable path from pilot to scale.  ( 10 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Right now, companies spend millions on agencies and PR firms that only scratch the surface of brand perception — and usually react after the fact👎. What’s missing is a clear, real-time picture of how people actually see the brand online — the balance between complaints and praises, the preferences customers express, and the sentiment trends that shape the brand's reputation👍. This workflow automation combines public discussion platforms monitoring with sentiment analytics to allow companies keep track of online perception of their brand in real time. It also helps in acting as an early warning radar by detecting rising negative sentiment early and alerting the company to make informed decisions before small issues snowball into full-blown crises✨. Seeing this challenge, I knew I had to jump on it, given the fact that I have been hearing much about n8n for a while. This challenge really opened me up to all of its possibilities and capabilities. And I must say, it really exceeded my expectations. Building an AI agent was made very seamless to achieve on the platform, and I faced little to no challenges as I walked through setting up the workflow for the agent. Here's to the DEV, n8n, and Bright Data team for hosting this amazing challenge. I really enjoyed the process of building out this solution. Cheers🥂  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an intelligent Brand and Keyword Mention Monitoring Agent that runs every 2 hours, searching the web for brand mentions and delivering curated reports directly to your inbox. It's essentially a tireless assistant that can process hundreds of posts while you sleep, filtering out the noise and highlighting what actually matters. The core problem this solves: manual brand monitoring is both overwhelming and incomplete. You're either drowning in irrelevant mentions or missing important conversations entirely. This agent finds the sweet spot between comprehensive coverage and actionable insights. The system processes hundreds of potential mentions autonomously, delivering only the most relevant insights…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data When technology meets personal need, innovation becomes deeply meaningful. This project wasn’t just a hackathon build or an experiment in automation — it started from my own mother’s case. Managing her medical reports, prescriptions, test results, and hospital bills was overwhelming. Each piece of information lived in different silos — Gmail attachments, WhatsApp messages, portals — leaving us scrambling whenever a doctor asked for history. I wanted to solve this once and for all. That’s when I turned to n8n, an open-source workflow automation tool, and started building an automated pipeline to collect, classify, process, and deliver her medical information in an organized way. https://drive.google.com/file/d/1…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an AI Agent for real-time startup funding & stock market monitoring. Normalizes the data (startup name, funding round, amount, investor, location). Stores results in a structured database. Sends instant alerts when new investment or stock news is detected. This solves the problem of information overload for investors, founders, and analysts—delivering curated, actionable insights in real time. 👉 Demo Link The demo showcases: News scraping with Bright Data. AI-powered classification (e.g., Seed / Series A / IPO news). Slack/Telegram notifications when a new funding round is published. Historical record stored in Supabase for querying. The core workflow is built in n8n. It runs every 30 minutes, scrapes …  ( 7 min )

System design involves understanding various components like load balancers, API gateways, caching, queue systems, and microservices to build robust, scalable, and highly available systems. This guide provides a beginner-friendly overview of how these components work together in a real-world production environment. Core Components: Client and Server A client is any device (e.g., mobile, laptop, IoT device) that uses an application and sends requests to a server. A server is a machine capable of running 24/7 with a public IP address, which is a unique address on the internet for reaching the server. Cloud providers like AWS offer virtual machines that act as servers, providing 24/7 availability and public IPs, as it's impractical for personal computers to serve this…  ( 10 min )

Today is digital age, the importance of network interfaces as the critical components connecting devices to networks is self-evident. Serving as the hardware/software interaction point for data exchange between devices and networks, network interfaces undertake key tasks such as protocol conversion, signal modulation, and data encapsulation. 1.Network Interface: The “Transportation Hub” of the Digital World (1)Principles of Network Interface Technology Network interfaces serve as the physical/logical channels for data transmission between devices and networks, with their performance directly impacting network speed, stability, and application scenarios. Core functions include: Signal conversion: Electrical signals ↔ Optical signals (e.g., SFP modules) Protocol parsing: Processing network p…  ( 8 min )

Container adoption has exploded, with over 85% of enterprises now running containerized applications in production. However, this rapid adoption has created significant security challenges: Vulnerability proliferation: Traditional container images often contain hundreds of packages, each potentially harboring vulnerabilities Compliance complexity: Meeting regulatory requirements becomes increasingly difficult with sprawling container dependencies Operational overhead: Security teams struggle to keep pace with patching and maintaining container images Attack surface expansion: Every unnecessary component in a container image represents a potential security risk Last week, I was chatting with a DevSecOps engineer during a Meetup event who told me their traditional Ubuntu-based containers had…  ( 9 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Real-Time Internships, Hackathons & Research Opportunities for Students I built an AI-powered career and research assistant designed especially for undergraduate, postgraduate, and research students. This agent provides: 📌 Real-Time Internship & Job Updates – pulling fresh data from platforms like LinkedIn. 🏆 Hackathon & Competition Feeds – from sources like dev.to/challenges, Devpost, and more. 📰 Latest Tech Blogs & News – delivering personalized content based on the student’s area of interest. 📑 Research Paper Access – AI-curated information on trending research papers and topics. 📂 Consolidated Report – all results are structured into a neat document (e.g., PDF/DOCX) for easy access and sharing.…  ( 7 min )

In FlutterFlow, pages do not provide a built-in Foreground Listener event. Problem: Logs entered through the custom Log0ne keyboard need to be saved into the app’s internal data. However, since a keyboard extension cannot directly access the app’s data, we used UserDefaults to share the entered logs between the keyboard extension and the app. When the user launches or switches back to the Log0ne app, the logs from the keyboard extension are saved into the app’s data. Solution Create a custom widget called ForegroundListener. The widget takes an action as a parameter, which will be executed when the app returns to the foreground. class ForegroundListener extends StatefulWidget { const ForegroundListener({ super.key, this.width, this.height, this.onForeground, }); final double? width; final double? height; final Future Function()? onForeground; @override State createState() => _ForegroundListenerState(); } class _ForegroundListenerState extends State with WidgetsBindingObserver { @override void initState() { super.initState(); WidgetsBinding.instance.addObserver(this); } @override void dispose() { WidgetsBinding.instance.removeObserver(this); super.dispose(); } @override void didChangeAppLifecycleState(AppLifecycleState state) { if (state == AppLifecycleState.resumed) { widget.onForeground?.call(); } } @override Widget build(BuildContext context) { return Container( width: widget.width, height: widget.height, ); } } Place the custom widget on any page where you want to detect foreground transitions and run an action. In the property panel, set its size to 0 so it remains invisible, and pass the desired action as a parameter to be executed when the app returns to the foreground. This way, logs entered through Log0ne’s custom keyboard extension can now be properly processed within the app.  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data HireWise is an AI-powered interview preparation platform that solves a critical problem: outdated interview preparation. While most interview prep tools rely on static, generic questions, HireWise combines real-time job market intelligence with lifelike AI interviews to give candidates a genuine competitive edge. The Problem: Traditional interview prep uses yesterday's questions for today's job market. The Solution: HireWise scrapes current LinkedIn job postings using Bright Data, processes them through n8n AI workflows, and generates market-relevant interview questions delivered by realistic AI avatars. 🔍 Real-Time Market Intelligence: Live LinkedIn job scraping for current interview questions 🤖 Lifelike AI …  ( 8 min )

Every day, API keys, tokens, emails, and DB URLs slip into prompts, logs, or demos. Once they hit the LLM, they’re out of your control. I built LLM-Sentinel, a privacy-first proxy that: Intercepts requests to OpenAI, Ollama, Claude, etc. Masks 52 types of sensitive data (API keys, creds, emails, credit cards, SSNs). Works with streaming, adds no noticeable latency (1-3ms). Comes with a real-time dashboard to watch what’s being masked. Zero data retention. All secrets stay local. How it works: client = openai.OpenAI( api_key="sk-...", base_url="http://localhost:5050/openai/v1" ) # Input: My AWS key is AKIA... and email user@company.com # Model sees: My AWS key is [AWS_ACCESS_KEY_MASKED] and email [EMAIL_MASKED]. Install: npm install -g llm-sentinel llmsentinel help or run via Docker: docker pull raaihank/llm-sentinel:latest docker run -p 5050:5050 raaihank/llm-sentinel:latest Repo: github.com/raaihank/llm-sentinel Feedback and contributions welcome. If you find this useful, drop a ⭐ on GitHub.  ( 6 min )

Read the original article：Offline-First, Scalable, Secure: Why Huawei Cloud DB with ArkTS Stands Out 🚀 Introduction Modern app developers often rely on backend-as-a-service (BaaS) platforms to handle data storage, synchronization, and security without managing servers. While various legacy platforms have served this role, Huawei’s Cloud DB — especially when used with ArkTS (HarmonyOS’s TypeScript-based framework) — is emerging as a strong, forward-looking alternative. Below, we explore how Huawei Cloud DB in ArkTS delivers offline-first capabilities, deep HarmonyOS integration, robust security, and future-ready design that make it stand out for developers. ☁️Huawei Cloud DB Overview Huawei Cloud DB (part of the AppGallery Connect suite) is a “device-cloud synergy” database service that ke…  ( 8 min )

Lets be honest, creating Power Automate flows is pretty dam easy (and I don't mean with Copilot), to the point where keeping track of them is.... well challenging. Good news Microsoft heard you and created a very cool feature, that in my experience is still under used, its called Automation Center. I suspect the Automation Center was created for Power Automate Desktop users, but that doesn't mean us Cloud foke can't use it too. It has 7 areas: Runs Process map Work queues Errors Desktop flow activity Savings Capacity utilization Interestingly when I started writing there was only 6, then Errors snook in I'm going to skip Desktop flows as its not my bag (if it is I would recommend following Agnius Bartninkas, so lets remove: Desktop flow activity Capacity utilization So that leaves us with:…  ( 9 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data 👋 Hey everyone! This is my submission to the n8n + Bright Data AI Agent Challenge — and unlike most generic agents that just search jobs by title, mine does one thing differently: 💡 It reads your actual resume, builds a smart profile (persona), and then finds matching jobs — automatically. Instead of asking users to type out their skills or filter jobs manually, my agent starts from your actual CV: Upload your resume to a monitored Google Drive folder. The agent converts it to text, chunks it, and creates OpenAI embeddings. It builds a personalized vector memory (in Pinecone) of your profile. When you message the agent (e.g., “Find backend jobs in Tel Aviv”) — it understands the context of your resume, ex…  ( 7 min )

I recently came across a barcode generation example in Python on X.com, and it inspired me to build something similar in Java. In this post, we’ll generate a CODE_128 barcode and add human-readable text below it, exporting everything as a single PNG image. We’ll use the popular https://github.com/zxing/zxing (Zebra Crossing) library to handle the barcode generation. Dependencies com.google.zxing core 3.5.1 com.google.zxing javase 3.5.1 Java Code // Import required libraries for barcode generation and image processing import com.google.zxing.*; import com.google.zxing.client.j2se…  ( 7 min )

11+ Best AI Web App Builders in 2025 Vinish Bhaskar for Pimjo ・ Sep 1 #webdev #programming #beginners #productivity  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I have subscribed to some amazing youtube channels from my country Ghana which i always look forward to watching their videos daily. Most times, i just want to forward the video links somewhere to get a summary and have a before-taste of since most of their videos are often more than 20 mins long, and i sometimes don't have the luxury to fully watch them at that instant. That's where the idea of this workflow came from. A way for me to get a summary and insights of a video that i can read in less than 5 minutes to build up anticipation, just by forwarding the link of the video to my system. Youtube demo: Workflow gist: System Instructions: Model Choice: Memory: Tools: I used the Bright Data Verified Node to get data of Youtube and TikTok videos. It was also able to get me transcript of Youtube videos but couldn't for TikTok videos so i used the HTTP REQUEST node for that. As a first time n8n workflow builder, it was tough. Thanks to some amazing resources from n8n the community support form, youtube videos like https://youtu.be/SoDip-tvZ0Y?si=5Y1Y1nfk_9_Y1aH9; i was able to make it through.  ( 7 min )

"Feature flags decouple deployment from release giving teams the power to ship code without shipping risk." Introduction The Problem: Risky Production Deployments How Feature Flags Make Deployments Safer Feature Flags and Continuous Delivery Interesting Stats Real-World Impacts FAQs Key Takeaways Conclusion In today’s fast-paced software landscape, organizations must balance two critical demands: the need to innovate quickly and the need to maintain stability in production environments. Traditional release strategies often force teams to choose between speed and safety. Feature flags (also known as feature toggles) offer a solution to this dilemma. They allow teams to ship code to production without exposing new features to users immediately, making it possible to test in production, perfo…  ( 9 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data The Daily Gist is an n8n workflow that creates a 10- to 15-minute video summary of a subreddit's top posts. To do this, it uses the subreddit's RSS feed. The following video is an example generated by my n8n workflow for the subreddit r/ArtificialInteligence n8n Workflow Github Gist This workflow is a scheduled job, built with n8n, that creates a video summary of the top posts from a chosen subreddit everyday. The workflow operates in several distinct stages: Data Ingestion: The process begins by ingesting post URLs from the subreddit's RSS feed. Content Scraping & Ranking: These URLs are passed to a Bright Data node, which scrapes the content of each post. The workflow then filters and rank…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an automated Real-Time Gold Price Movement Intelligence & Trading Signal AI Agent. This agent leverages Bright Data’s real-time web scraping within an n8n workflow to collect live gold prices from trusted sources, analyzes this data using advanced AI models (Perplexity AI and custom logic), and automatically generates actionable trading signals with risk parameters. Alerts are instantly sent to traders via WhatsApp/SMS through 8x8 CPaaS. With integrations for broker APIs, it can place trades (with a human approval step) and produce daily/weekly PDF reports—making gold trading fast, informed, and automated for both individuals and institutions. Video Link Workflow JSON is shared as a GitHub Gist here Sy…  ( 7 min )

Why I Ditched Agile and My Dev Team's Productivity Jumped 40% Pratham naik for Teamcamp ・ Sep 1 #webdev #productivity #devops #learning  ( 6 min )

🔹 Problem: 1792. Maximum Average Pass Ratio Difficulty: #Medium Tags: #Greedy, #Heap, #Math, #PriorityQueue You are given n classes, each with passed students out of total students. You can add extraStudents students, one at a time, and for each added student you can choose which class they join. Each added student is guaranteed to pass. Your goal: distribute the extra students to maximize the average pass ratio across all classes. Brute Force Idea: n^extraStudents). Optimized Strategy: doesn’t give equal benefit. Adding a student to a class with a low pass ratio increases the average differently than adding to one with a higher pass ratio. The trick is: at each step, add the student to the class where they will provide the maximum increase ("gain") in the overall average. Algorith…  ( 7 min )

After three years of sprint burnout and endless ceremonies, I made a controversial decision that transformed our development workflow. The meeting room fell silent when I announced we were abandoning Agile. My team of twelve developers looked at me like I had just suggested we start coding in assembly language. But six months later, our productivity metrics spoke for themselves: 40% faster feature delivery, 60% reduction in context switching, and the highest team satisfaction scores we had ever recorded. This isn't another anti-Agile rant. It's a data-driven story about what happens when you prioritize developer flow state over framework compliance and how the right tools can amplify that decision. On paper, we looked productive. In reality, we were drowning in process overhead. Our typi…  ( 10 min )

You've probably read a lot about design patterns, most of them have long explanations, heavy UML diagrams, and abstract examples that are hard to connect with real life. quick, crisp, memorable guide that tells you, What the pattern is  Why it exists  A real world hook to remember it  A tiny pseudo code snippet for recall  That is exactly what this Design Pattern Cheat Sheet is. Creational design patterns are like a set of blueprints or recipes for creating objects. They separate the process of HOW objects are created from the code that actually USES them. This makes our code more flexible and easier to change later on. 1.Factory Method // Interface Interface Sender Method Send(msg) // Concrete products Class EmailSender implements Sender Send(msg) → print "Email: " + msg Class …  ( 13 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Job Hunter AI is a revolutionary job search automation workflow that combines the power of Amazon Bedrock Chat Model with n8n AI Agent Node and Amazon Nova Premier - AWS's latest multimodal AI model. This cutting-edge system automatically: 🔍 Scrapes job listings from LinkedIn using BrightData's verified nodes Extracts recruiter contacts using Nova Premier's advanced reasoning capabilities 📝 Generates personalized cover letters with Amazon Bedrock agent framework Organizes everything in a comprehensive Google Sheets dashboard Provides actionable insights with multimodal AI analysis Next-gen AI: Amazon Nova Premier (us.amazon.nova-premier-v1:0) via Amazon Bedrock Chat Model Advanced reasoning: Superior contact…  ( 10 min )

Originally published at https://www.nocobase.com/en/blog/no-code-or-vibe-coding. Introduction In early 2025, it felt like every day on Reddit I came across the same question: “Will Vibe Coding replace no-code?” The buzz was everywhere—people were excitedly sharing experiments with Vibe Coding, from small features to full applications. It seemed like almost anything could be built just by having a conversation with AI. But a few months later, the mood shifted. One user posted: “Been vibe coding for 5 months, but went back no-code.” The reason was straightforward: the instability of AI-generated results (hallucinations). Debugging and fixing errors was exhausting, and long-term maintenance was even more daunting. For many who tested Vibe Coding in real-world projects, the conclusion was c…  ( 15 min )

Signup here for the newsletter to get the weekly digest right into your inbox. weeklyfoo #100 is here: your weekly digest of all webdev news you need to know! This time you'll find 44 valuable links in 6 categories! Enjoy! Big O: Big O notation is a way of describing the performance of a function without using time. by Sam Rose / performance, algorithms / 14 min read 📰 Good to know Use Bash Strict Mode: Unless You Love Debugging by Aaron Maxwell / bash / 19 min read We Put a Coding Agent in a While Loop and It Shipped 6 Repos Overnight: This weekend at the YC Agents hackathon, we asked ourselves: what’s the weirdest way we could use a coding agent? by RepoMirror / ai, hackathon / 3 min read Everything I know about good API design: Most of what modern software enginee…  ( 9 min )

11+ Best AI Web App Builders in 2025 Building a web app used to mean days of setup, boilerplate, and debugging. But in 2025, AI web app builders flipped the workflow. These tools take a plain prompt and generate production-ready projects, frontend, backend, database, and even deployment in minutes. Example prompt: Generate a Next.js SaaS app with user auth, Stripe billing, and a PostgreSQL database. …and you get a working scaffold ready to customize, extend, or push to GitHub. This guide breaks down the best AI web app builders in 2025 for developers, indie hackers, and solo makers. Unlike no-code platforms, these tools ship real code with full ownership so you can iterate fast and scale without vendor lock-in. The best AI web app builders in 2025 enable you to transform a prom…  ( 10 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data @samira_zein @yoditdevn8n @deniskisina Most automations focus only on publishing AI-generated posts. We wanted to go beyond content creation and solve a bigger problem, by keeping audiences engaged in real-time without a full social media team. We built an AI-Powered Social Media Engagement Manager — an automation that not only creates and publishes posts but also: Listens to replies, mentions, and DMs across platforms. Classifies them with AI (positive, complaint, sales lead, spam). Responds automatically with context-aware replies or routes to humans if needed. Analyzes performance with AI-generated charts and weekly insights. Adapts to trends by integrating Bright Data’s verified node to discover…  ( 7 min )

I originally posted this post on my blog. Recently I found this question (with a tone of frustration in it): I'm trying to start learning webdev but I don't know if it's too late. Eric Flores ・ Aug 17 #webdev #career #beginners #learning Like investing, planting trees, and pretty much anything else in life, the best time to start was five years ago. But the next best time? Now. Decades ago, people learned from reference manuals and magazines. Paid for compilers. And suffered with slow and expensive internet connections. You could only access a computer in universities. Having one at home was a complete luxury. Fast forward to today, your phone has more power than the computer that put a man on the Moon. Now, anyone can start learning to code by asking ChatGPT for a 3-month learning guide and following YouTube tutorials. All for free. If you're asking the same question, don't be discouraged by AI. Blame all the misleading headlines. "More than X% of new code at $BigCorp is generated by AI." There's a lot of nuance behind those statements. AI is making coding faster and cheaper. Sure. But most of it happens through collaborating in meetings and discussions, not at the keyboard. AI isn't replacing coders (for real) anytime soon because coding is about thinking and problem-solving. Typing is just the surface. What do you think? It's too late to learn coding? Starting out or already on the software engineering journey? Join my free 7-day email course, where I share the lessons and mistakes I've learned from 10 years in software engineering so you can skip the trial and error and move your career forward.  ( 6 min )

In today's fast software development world, delivering high-quality applications in a timely manner is essential. Test automation is to automate testing tasks that involve repetition during the development process. Companies and product teams can promote software reliability, while accelerating the development cycle. So, what is test automation, and how does it change the QA process? Let’s explore *What is test automation? * Test automation is the process of running a software application through a series of pre-scripted tests with a separate piece of software - specialized test automation tools. Test automation is focused on running the scripted tests and not the human-based tester. The software allows for efficiency and determinism when running repetitive and complicated test cases. Tes…  ( 9 min )

💥 Day 2 of My Pygame Journey: Smashing the Laptop and Learning File Names 😂 Hey dev friends! 😆 ⸻ 💥 Smash Laptop #1: File Names, WHY?! Tip: File names in your code MUST match the actual file name. Smash Laptop Alert: Wrong file name → hero disappears 😭💥 ⸻ 🛠 Step 1: Create Character (Placeholder First) Notes: ⸻ 🎨 Step 2: Background & Resize screen.blit(“diner.jpg”, (0,0)) # draw background Smash Laptop Alert: Tip: Background image = game screen size 🖼️ ⸻ ⚡ Step 3: Sequence Draw (Super Important!) Smash Laptop #3: Wrong order → hero gets covered 😭💥 ⸻ 🔧 Step 4: Update Function (Movement Logic) Must come after creating character. If not → Smash Laptop #4 💥 ⸻ 🗂 Step 5: Organize Folder (Save Sanity) Smash Laptop #5 avoided! 🎉 ⸻ 💡 Step 6: Wireframe → Action → Draw Create → Action → Display = life of your hero 🦸‍♂️ ⸻ 🔥 Step 7: Final Checklist Smash Laptop Risk = Zero ✅ ⸻ Have you ever smashed your laptop because of a file name mismatch? 😆💥 Share your story in the comments! 👇  ( 7 min )

CSS Nesting lets you write CSS rules inside other CSS rules. This makes your code cleaner, shorter, and easier to understand. Think of it like how HTML elements are placed inside each other. For example, a inside a . CSS Nesting works the same way, so you write styles for child elements inside the parent’s styles. Keeps your CSS organized: You group styles that belong together. Makes your code easier to read: You can see the relationship between elements clearly. Saves time: You write less repeating code. Here’s a quick example: nav { background: #333; ul { list-style: none; li { color: white; padding: 10px; } } } Here, The element has a dark background (#333). Inside , all lists will have no bullet points (list-style: none). Inside those lists, every (list item) will have white text and 10 pixels of padding. Because the styles for ul and li are written inside the nav block, these styles only apply to ul and li elements inside the nav. This makes sure your CSS affects exactly the parts of your page you want, without extra code. Good news! CSS Nesting now works in all major browsers: Chrome: from v112 (April 2023) Edge: from v112 (April 2023) Safari: from v16.5 (May 2023) Firefox: from v117 (August 2023) Opera + Mobile browsers: fully supported too So yes, it’s safe to use CSS Nesting in your projects today without worrying about compatibility. Check browser support for CSS nesting! CSS Nesting is such a handy feature. It: Keeps your CSS clean and organized Saves you from writing the same code again and again Matches the way your HTML is structured Give it a try in your next project and let me know how it goes for you in the comments!👇🏻 That’s all for today! For paid collaboration, connect with me at: connect@shefali.dev If you enjoy my work and want to support what I do: 👉 Become a Patreon supporter 👉 Or buy me a coffee Every small gesture keeps me going! 💛  ( 7 min )

what is Array ? In JavaScript, an array is a single variable used to store an ordered collection of multiple values. These values, called elements, are stored at sequential positions, each identified by a numeric index. The indexing in JavaScript arrays starts at 0, meaning the first element is at index 0, the second at index 1, and so on. JavaScript arrays can store elements of different data types within the same array (e.g., numbers, strings, objects, or even other arrays). Unlike arrays in some other languages, JavaScript arrays are dynamic, meaning their size can change during runtime. Elements can be added or removed, causing the array to expand or shrink. Example : let a=["banana",1,true,"abc"] for(int i=0;i<arr.length;i++) { if(typeof(arr[i])==number) { console.log(arr[i]); } } output:1  ( 6 min )

As businesses face AI integration hurdles, Gen Z innovators can leverage their expertise to drive transformative change. Billionaire entrepreneur Mark Cuban has recently highlighted a significant gap in the understanding and implementation of artificial intelligence (AI) within companies, suggesting that this presents a unique opportunity for the incoming Gen Z workforce. As businesses grapple with the complexities of AI integration, Cuban posits that those who are well-versed in these technologies can step in to guide organizations through this transformative period. Cuban's assertion comes at a time when many companies are still struggling to comprehend the full potential of AI technologies. Despite the rapid advancements in AI capabilities, a survey by McKinsey found that only 20% of or…  ( 7 min )

🚀 Vyoma for Students – Built by Us, for Us Hi Dev Community 👋, We’re Prasoon & Blessing, both 16-year-old founders of Vyoma – an all-in-one toolkit and ecosystem. We built Vyoma because as students, we felt the need for smarter, free, and accessible tools that help us study, revise, and explore careers. Our goal is simple: 👉 Try it here interests → skills → careers. As students, we know how confusing future planning can be, so we built a tool to guide you. 👉 Try it here 👉 Try it here practice Q&A cards easily. 👉 Try it here share and access notes with classmates. Built for collaboration, not competition. Vyoma is just getting started. Right now, we have tools for students, but soon we’ll expand into business, developer, and everyday productivity tools. We’re building an ecosystem from scratch, as teenagers, to prove that age doesn’t define innovation. 🚀 💡 We’d love feedback, ideas, and collaboration from the Dev.to community. If you’re a student, developer, or just someone curious – check out Vyoma and tell us what tools you’d love to see next.  ( 6 min )

Enterprises lose millions annually due to API outages and performance degradation. Modern observability strategies are crucial to mitigate these risks. Today, almost every system is dependent on APIs. Data integration, authentication, payment processing, and many other functions rely on multiple reliable and performant APIs. Banks around the world, for example, have adopted the Open Banking API for payments, credit scoring, lending origination, fraud detection, and lots more. APIs are the internal workers of the internet.  Connecting to a single website, using a business application like an ATM, or a mobile app likely means dozens if not hundreds or even thousands of API calls.  Each one has the possibility to impact the overall service: if it’s slow, the service might be slow.  If it retu…  ( 16 min )

Looking to speed up code reviews and improve code quality? Pull request review tools have become essential for engineering leaders who want to manage fast-growing teams without the usual bottlenecks. Code reviews aren’t just a checkbox anymore — they’re the secret to shipping reliable, maintainable software. But many teams hit the same wall: long review cycles, inconsistent feedback, and dashboards overflowing with noise yet lacking insight. For an engineering leader managing a team of 5–50 developers, this is frustrating. You want to empower your team, reduce friction, and get actionable clarity without micromanaging every line of code. Enter pull request review tools that combine AI, automated checks, and smart insights to transform how your teams collaborate and ship. Panto AI cleverly…  ( 7 min )

Search engine optimization (SEO) has never been static. Since the early days of keyword stuffing and link directories, SEO has evolved through algorithm shifts, user behavior changes, and advances in web technology. In 2025 the debate is loudest between AI SEO — workflows supercharged by large language models (LLMs), automation, and signal-driven optimizers — and Traditional SEO — the established practices of technical audits, manual content strategy, and link building. This article compares both approaches across strategy, speed, reliability, cost, ethics, and outcomes to answer the question: which one wins in 2025? AI SEO dramatically speeds up research, content drafting, and on-page testing; it shines in scale and ideation. Traditional SEO remains essential for technical resilience, tr…  ( 9 min )

How Developers Are Using AI to Deliver More Value in Less Time Jaideep Parashar ・ Sep 1 #ai #programming #devops #testing  ( 6 min )

✫ CodeCharm: VS Code Extension That Comments Your Code Like an AI Pro (With Emojis!) Puneet-Kumar2010 ・ Jul 13 #ai #javascript #vscode #extensions  ( 6 min )

Hey folks, Not much to report this week, but I've been making steady progress on my reworked models. I've been moving away from a class-based system to a skill-based one, and have set up models to define the player's characters (Heroes), enemies, and townsfolk. I just need to sort out armour next, and then I should be able to set up the data I need for a simple combat implementation. I've also been laying the foundations to add support for romancing companions and marrying other players. That's all for tonight, Dan Dahl  ( 5 min )

When founders in India look for funding, the landscape often feels fragmented. There are different government-backed initiatives—each solving a unique problem—but they’re rarely explained together. In this post, let’s break down three key schemes—the Credit Guarantee Scheme for Startups (CGSS), Startup India, and MUDRA loans—through a comparative lens. Think of it less as a pitch and more as a decision framework. 1. Understanding the Three Schemes 🔹 Credit Guarantee Scheme for Startups (CGSS) Objective: Reduce risk for lenders when funding asset-light startups. Mechanism: NCGTC (National Credit Guarantee Trustee Company) offers a guarantee cover to banks. If the startup defaults, the guarantee fund shares the loss. Best fit: Tech-first, service-based, or scalable startups with minimal …  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data My journey consisted of several ideas. But here is the most creative one: Digital art of the people. This takes random comments from videos on TikTok and YouTube, combines them into a string to be used as a prompt for image generation, it then outputs the created image with an inspiring quote. Meant to serve as a source of inspiring community-based digital art. "Art of the People" workflow - This is a long story. I tried posting to Facebook, and making a discord bot to output the images. I was generating some pretty cool stuff from random comments. and more samples as evidence... Facebook involved privacy issues due to my settings, and I was having trouble saving binary data and retrieving it properly for fu…  ( 8 min )

Improving Customer Service with Automated Call Center Data Insights Dipti Moryani ・ Sep 1 #webdev #programming #ai #beginners  ( 5 min )

Olá, pessoal! Tudo bem? Aqui é o Lucas do deveprogramar, e hoje vamos abordar uma questão que tá na cabeça de muita gente que tá começando ou pensando em entrar na área de tecnologia: ** ** Com a IA generativa bombando, demissões no setor tech aparecendo nos noticiários e o mercado mudando rápido, é normal bater aquela dúvida: será que ser desenvolvedor ainda é uma carreira promissora? Spoiler: sim, vale a pena, mas com realismo – o mercado tá se recuperando de anos desafiadores, com demanda crescente em áreas como IA e cloud, embora a concorrência pra vagas entry-level continue alta. Baseado em buscas recentes (agosto de 2025), atualizei esse texto com dados frescos do mercado global e brasileiro, incluindo projeções de crescimento e salários. Vamos explorar por que ser dev continua s…  ( 8 min )

Improving Customer Service with Automated Call Center Data Insights Dipti Moryani ・ Sep 1 #webdev #programming #ai #beginners  ( 5 min )

Improving Customer Service with Automated Call Center Data Insights Call center operations generate large amounts of data every day, but without an efficient way to collect, integrate, and analyze it, valuable insights can be lost. For this company, delays in reporting and inconsistencies in data accuracy meant missed opportunities to improve customer experiences and streamline operations. We designed and implemented a custom data integration solution that automated the extraction of call center data from Five9 into the company’s data warehouse. This automation ensured: Reliable and consistent insights for management decision-making With accurate and timely data, the company: Optimized agent scheduling for peak hours Download the case study to learn more: Turn Call-Center Data into Insights for Better Customer Service – Case Study Turn Call-Center Data into Insights for Better Customer Service – PDF  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data In the new era of generative search, why not just use a model with built-in Google Search grounding to create an article? This was the first question I asked myself. The answer reveals a fundamental limitation: a grounded AI gives you a summary, but you never see the source material. It's a black box. You can't analyze the structure of the top-ranking pages, you can't see the exact "People Also Ask" questions, and you have no control over which sources the AI chooses to value. To solve this fundamental limitation, I built the AI SEO Content Brief Agent. This is not a chatbot; it's a complete, automated intelligence pipeline that transforms the messy, real-time web into a high-value, strategic asset. This agent…  ( 10 min )

oauth2 v2.0.14 has been released with: 📝 Added OAuth 2.1 draft specification as inline documentation throughout in PR #662 PKCE required for auth code, exact redirect URI match, implicit/password grants omitted, avoid bearer tokens in query, refresh token guidance for public clients, simplified client definitions 📝 Added OIDC documentation, example, and spec references in OIDC.md in PR #663 📝 Add Example for JHipster UAA Server (Spring Cloud) Password Grant Integration in PR #664 📝 Document Mutual TLS (mTLS) usage with example in README in PR #665 ✅ Documentation with Example for Flat Params Usage, with specs in PR #666 Purely a documentation release! Yes, this is the second release in two days. There are no code changes in this release. This project is used by over 100k other projects. it is downloaded a million times per week. It currently has zero backers, and zero sponsors. Please consider supporting it. Release Notes: https://github.com/ruby-oauth/oauth2/releases/tag/v2.0.14 Open Collective: https://opencollective.com/ruby-oauth Photo by Pawel Czerwinski on Unsplash  ( 6 min )

A few weeks ago, during my notice period for an internship, my employer asked me to help review profiles for the next batch of interns. There were over 1000 applications. Out of these, only 300 people submitted the assignment, and from there, just 40 candidates made it to the shortlist. Going through so many submissions taught me a lot — not only about how hiring works, but also about the common mistakes candidates make. Most of these mistakes are simple, avoidable things that can instantly reduce your chances. Here’s what I observed 👇 This one might sound obvious, but a majority of applicants didn’t submit the assignment at all. There can be valid reasons — multiple deadlines, lack of time, exams, or losing interest — but if you don’t submit, your application ends right there. (I also un…  ( 9 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I've built the Career Path & Salary Navigator - an AI-powered career transition advisor that solves the critical problem of career uncertainty in the tech industry. With the tagline "Show me the next best step in my career—and what it's worth," this agent combines real-time market data with AI intelligence to provide personalized career roadmaps. The Problem: Software engineers often don't know what their realistic next career moves are or how much they could earn if they make a transition. Existing platforms like LinkedIn and Glassdoor provide either career advice OR salary data in isolation, but never combine them into actionable, personalized recommendations. The Solution: My AI agent scrapes live job market…  ( 13 min )

Learning Kubernetes can be intimidating, especially when you're trying to understand concepts like container orchestration, networking, and distributed systems. While cloud platforms offer managed Kubernetes services, there's something powerful about building your own cluster from scratch. Enter the Raspberry Pi – an affordable, energy-efficient way to create a real Kubernetes cluster right on your desk. In this comprehensive guide, we'll walk through building a multi-node Kubernetes cluster using Raspberry Pi devices. You'll gain hands-on experience with cluster architecture, networking, and deployment patterns that directly translate to production environments. Before diving into the technical details, let's understand why Raspberry Pi makes an excellent platform for learning Kubernetes:…  ( 14 min )

Author: SafeLine Pro user - YaneonY Maintaining your SafeLine WAF installation up to date is important for ensuring optimal security, performance, and access to the latest features. Here’s a simple all-in-one Bash script that automates the update process — including creating backups and pruning old ones — so you can manage updates with minimal effort. Stops running containers safely before updating Creates a timestamped backup of the resources directory Automatically prunes old backups, keeping only the most recent ones Fetches the latest compose.yaml from the official release source Pulls the latest Docker images for SafeLine Restarts containers in detached mode so your service is back online quickly Save the Script Save the following script as update.sh inside your SafeLine installation …  ( 7 min )

The Unveiled Impact of Artificial Intelligence on Small Business Growth and Productivity As we dwell in the epoch of innovation and technology, artificial intelligence (AI) has undeniably left its imprint on diverse industries globally. However, its influence is not limited to giant tech corporations; small businesses are also increasingly harnessing its capabilities to amplify growth and productivity. This article delves into how AI impacts small businesses, analysing its role in enhancing efficiency and unlocking entrepreneurial potential. For small businesses, maintaining high productivity levels and efficient operations can be challenging, but AI technology offers promising solutions. AI-based applications and software can automate routine tasks, reducing manual labour and paving the way for quicker response times and enhanced performance. Advancements in AI have led to the development of intelligent virtual assistants, serving as competent office administrators that offer services 24/7. They help in managing tasks such as emails, scheduling meetings, and customer service, enabling the staff to focus on complex tasks requiring human touch and creative thinking. AI tools also eliminate the margin of human error, thereby improving the accuracy of tasks. For example, AI-powered accounting software can handle invoicing, payroll, tax preparation, and financial reports with impressive precision, eliminating errors that could result in financial loss or legal issues. The advent of AI has revolutionized data analytics, allowing businesses to make well-informed, strategic decisions. AI makes it feasible to process and interpret vast amounts of data in real-time, delivering valuable insights for small businesses. Through predictive analytics, AI can forecast custo  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built Ceylon Journey Partner – Real-Time AI Travel for Sri Lanka, an AI-powered travel planning workflow that creates a personalized itinerary for tourists visiting Sri Lanka. The workflow solves the common problem of overwhelming travel research by automating the process of collecting hotel options from multiple platforms (Booking.com, Airbnb, Agoda) and combining them with user preferences such as travel dates, budget per day, destinations, and activities. It ensures travelers get a balanced plan that maximizes good weather, minimizes travel time, fits within budget, and matches personal interests. n8n Workflow GitHub Gist - Ceylon Journey Partner The workflow is implemented in n8n with the …  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I’ve built an AI-powered workflow that helps you identify which tech skills are in demand right now. Here’s how it works: The Bright Data API node fetches five newly posted software job listings from LinkedIn (within the past 24 hours). These postings are then passed to an AI node, which analyzes them and generates a sample resume tailored to the skills and requirements in the listings. Finally, the generated resume is automatically emailed to the user. This workflow not only shows you which skills are currently marketable but also gives you a concrete, AI-crafted resume example aligned with the latest job trends. https://gist.github.com/Stemonitis/ef1f8dad35c266fe107b9dd99ccc990a Jane Doe* jane.doe@email.com…  ( 8 min )

You might have heard the terms authentication and authorization and wondered where and when they are used, they most of the times missunderstood by developers,students, and tech geeks. well here we clear the differences and mention cases for when one is used. think of staying in a hotel where you provide proof that you are one of the clients and then you gain access to the building, now that is what authentication is, you as a client providing some information to prove you are who you claim to be.we will use that example (hotel example) to provide clear explaination. 1.you want to enter your hotel room so you pass through security first and provide perhaps a card given to you by a hotel for your stay and access (in the account case you would provide information like username and password, …  ( 7 min )

As developers, we often focus on building robust applications, but launching a full-featured website quickly is a challenge many of us face—especially when clients or stakeholders expect results fast. Whether you're creating a portfolio, a SaaS landing page, or an e-commerce store, speed and efficiency are key. In this article, we’ll explore some strategies to accelerate your website launch while maintaining quality and performance. 1. Start With a Clear Plan Before writing a single line of code, define: Purpose: Is it a portfolio, blog, or e-commerce site? Core Features: Contact forms, booking system, payment integration, etc. Design Guidelines: Layout, color scheme, branding consistency. A well-defined plan ensures you don’t spend unnecessary time iterating on features your project doesn…  ( 7 min )

In a year full of flashy AI launches and vaporware promises, Claude Opus 4.1 is the opposite: quietly shipped by Anthropic on August 5, 2025, and actually better in ways that matter. It’s not trying to reinvent the wheel or claim AGI—it’s a solid, stability-focused release that improves real-world usability, safety, and enterprise readiness. With 200K context, 64K extended reasoning capacity, and benchmarks like 74.5% SWE-bench Verified, Opus 4.1 takes a noticeable leap over its predecessor. From multi-file code refactoring to autonomous agent tasks, it’s more reliable, more nuanced, and better aligned with practical workflows. But here’s the catch: with power comes risk. That’s where red teaming comes in. Anthropic markets Opus 4.1 as safer, smarter, and more reliable—and the numbers back…  ( 18 min )

I’m PSbigbig. After watching hundreds of Python RAG and agent pipelines fail, I stopped believing bugs were random. Many failures repeat with the same fingerprints — they are math-shaped, not noise. Today’s focus is Logic Collapse & Recovery, also called No.6 in the Problem Map. You’re running a multi-step reasoning chain: Step 1 looks fine. Step 2 repeats the question in slightly different words. Step 3 outputs “intuitively, therefore…” and fills a paragraph with elegant but hollow prose. Citations vanish. You’re left with filler and zero logical progress. It feels like the model “kept talking” but the reasoning stalled. You think: maybe my prompt wasn’t strong enough, maybe the model is weak at logic. collapse event — the model lost its reasoning state and invented a “fake bridge” to cov…  ( 7 min )

Loom v1.0.0 Beta Initial beta release of Loom, a fast and minimal text editor built with C++ and Qt, featuring Lua scripting for configuration and plugins. Try it: https://github.com/dexter-xd/loom Debian/Ubuntu: wget https://github.com/dexter-xd/loom/releases/download/beta_1.0.0/loom_1.0.0_amd64.deb sudo dpkg -i loom_1.0.0_amd64.deb sudo apt-get install -f loom System Requirements: Linux (Debian/Ubuntu or compatible) x86_64 architecture Qt5 and Lua dependencies (auto-installed) Lightweight and fast with minimal resource usage Gruvbox theme for comfortable coding Multi-tab interface for managing multiple files Syntax highlighting for C/C++, JavaScript, TypeScript, Python, Lua, JSON, HTML, CSS, Rust Lua-based configuration system with user overrides Plugin system with hot reloading suppo…  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Pixie, A fully automated voice-driven website redesign pipeline that accepts a spoken or typed requirement, scrapes the target site, generates a structured Product Requirements Document (PRD), and automatically creates or updates a prototype website on Lovable.dev, then emails the result to the user. n8n Workflow I’m attaching the full n8n workflow JSON export View full n8n workflow on GitHub Gist so the judges can review and even run it themselves. This single file contains the entire end-to-end pipeline — from the webhook trigger to Bright Data scraping, AI agent, Lovable automation, and Gmail updates. To make it easier to visualize, I’ve also added a few screenshots below: Workflow overview —…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an intelligent lead generation automation that transforms neighborhood searches into qualified prospects with personalized cold email campaigns. This AI agent solves the time-consuming problem of manual prospecting by automating the entire pipeline from lead discovery to personalized outreach. Key Features: Scrapes Google Maps for local business leads using neighborhood + industry targeting Enriches lead data through multiple sources (Owler profiles + Apollo verification) Uses LLM intelligence to analyze and select the best data sources Generates hyper-personalized HTML email campaigns Automatically qualifies leads based on available contact information Manages complete lead database in Google Sheets Pr…  ( 8 min )

The Deepfake Apocalypse Is Here...But It's Sneakier Than You Think! We've all heard about deepfakes, those uncanny valleys of digital deception. But what if the most dangerous deepfakes aren't the fully fabricated ones, but the subtly altered realities? Let's dive deep into the emerging world of partial deepfakes – a new breed of synthetic media that's far more insidious and harder to detect. Forget about swapping entire faces. Imagine a video where a person's facial expression is subtly changed, an object in the background morphs into something else, or a fleeting moment is subtly altered. These are the hallmarks of partial deepfakes, or "FakeParts." They operate by making localized, surgical changes to existing videos, seamlessly blending synthetic elements with real footage. Why are t…  ( 8 min )

(Cover image from pexels.com by Bruna Sonore)   It has been just over a year since the WICK-A11Y open‑source accessibility plugin for Cypress saw the light, and became one of the most powerful and beloved tools in the Cypress community for fighting accessibility barriers in web apps. Since then, there have been 14 releases, keeping the plugin at the top of accessibility tooling for Cypress test frameworks. (Image from pexels.com by icon0 com)   And now, the brand‑new wick‑a11y v2.2.0 is fully supported in Cypress v15, just 10 days after the new Cypress version was officially released. That’s because I saw this coming even before Cypress 15 dropped. I already knew two things: The latest cypress‑axe v1.6.0 supported up to Cypress 14, so a new release of the library was likely imminent (th…  ( 8 min )

An X user known as Princess Hypio said they lost $170,000 in crypto and NFTs to a scammer who infiltrated a Discord server and pretended to have mutual friends.

Coinbase and OKX are moving into Australia’s pensions through SMSFs, while the United States revamps rules on how crypto fits into retirement plans.

Bitcoin’s hold over $109,000 hinges on this week’s US jobs report and other macroeconomic data.

The crypto company tied to the US president and his family unlocked 24.6 billion tokens, making their holdings worth about $5 billion.

The United Arab Emirates has become a hot spot for the crypto industry as clear regulatory frameworks and no tax on crypto profits has driven interest in digital assets.

Bitcoin bulls are trying to push the price back above $110,530, but bears continue to sell breakouts and the range highs. Will altcoins catch a bounce?

Bitcoin bulls are trying to push the price back above $110,530, but bears continue to sell breakouts and the range highs. Will altcoins catch a bounce?

Bitcoin bulls are trying to push the price back above $110,530, but bears continue to sell breakouts and the range highs. Will altcoins catch a bounce?

According to some Republican lawmakers, the first crypto-related priority in the Senate will be to pass legislation for market structure.

According to some Republican lawmakers, the first crypto-related priority in the Senate will be to pass legislation for market structure.

According to some Republican lawmakers, the first crypto-related priority in the Senate will be to pass legislation for market structure.

The World Liberty Financial token, WLFI, began trading on several crypto exchanges on Monday. Here’s how traders can avoid scams.

The World Liberty Financial token, WLFI, began trading on several crypto exchanges on Monday. Here’s how traders can avoid scams.

The World Liberty Financial token, WLFI, began trading on several crypto exchanges on Monday. Here’s how traders can avoid scams.

Discover the richest crypto founders, tech CEOs and digital asset moguls of 2025. From CZ to Vitalik Buterin, see who tops the crypto wealth ranking.

Discover the richest crypto founders, tech CEOs and digital asset moguls of 2025. From CZ to Vitalik Buterin, see who tops the crypto wealth ranking.

Discover the richest crypto founders, tech CEOs and digital asset moguls of 2025. From CZ to Vitalik Buterin, see who tops the crypto wealth ranking.

ChatGPT and Grok are becoming the go-to tools for crypto traders, offering faster context, sentiment and strategic clarity, all through conversation.

ChatGPT and Grok are becoming the go-to tools for crypto traders, offering faster context, sentiment and strategic clarity, all through conversation.

XRP price is stuck in a downtrend, with several metrics suggesting that the sell-off could continue to $2 if the support at $2.70 is lost.

XRP price is stuck in a downtrend, with several metrics suggesting that the sell-off could continue to $2 if the support at $2.70 is lost.

XRP price is stuck in a downtrend, with several metrics suggesting that the sell-off could continue to $2 if the support at $2.70 is lost.

While Europe and the US debate AI and crypto rules, Singapore deploys live systems in hospitals and refines its crypto licensing through targeted enforcement.

While Europe and the US debate AI and crypto rules, Singapore deploys live systems in hospitals and refines its crypto licensing through targeted enforcement.

While Europe and the US debate AI and crypto rules, Singapore deploys live systems in hospitals and refines its crypto licensing through targeted enforcement.

Binance launches Medá in Mexico, a regional crypto hub and regulated fintech driving fintech innovation across Latin America.

Binance launches Medá in Mexico, a regional crypto hub and regulated fintech driving fintech innovation across Latin America.

Binance launches Medá in Mexico, a regional crypto hub and regulated fintech driving fintech innovation across Latin America.

Learn how the SEC lawsuit that threatened XRP’s existence has turned into the cryptocurrency’s biggest strength in 2025.

Learn how the SEC lawsuit that threatened XRP’s existence has turned into the cryptocurrency’s biggest strength in 2025.

Learn how the SEC lawsuit that threatened XRP’s existence has turned into the cryptocurrency’s biggest strength in 2025.

Need to know what happened in crypto today? Here is the latest news on daily trends and events impacting Bitcoin price, blockchain, DeFi, NFTs, Web3 and crypto regulation.

Need to know what happened in crypto today? Here is the latest news on daily trends and events impacting Bitcoin price, blockchain, DeFi, NFTs, Web3 and crypto regulation.

The Web3 industry is on track to surpass 5 billion cryptocurrency users, driven by blockchain usability and speculation during the next bull market cycle, according to industry insiders.

The Web3 industry is on track to surpass 5 billion cryptocurrency users, driven by blockchain usability and speculation during the next bull market cycle, according to industry insiders.

The Web3 industry is on track to surpass 5 billion cryptocurrency users, driven by blockchain usability and speculation during the next bull market cycle, according to industry insiders.

Lee Eok-won, South Korea’s Financial Services Commission chief nominee, dismissed cryptocurrency as highly volatile and lacking intrinsic value.

Lee Eok-won, South Korea’s Financial Services Commission chief nominee, dismissed cryptocurrency as highly volatile and lacking intrinsic value.

Lee Eok-won, South Korea’s Financial Services Commission chief nominee, dismissed cryptocurrency as highly volatile and lacking intrinsic value.

Warren Buffett’s Berkshire Hathaway seems to be increasingly fearful as others become greedy, which has historically preceded big crashes in the stock market.

Warren Buffett’s Berkshire Hathaway seems to be increasingly fearful as others become greedy, which has historically preceded big crashes in the stock market.

Warren Buffett’s Berkshire Hathaway seems to be increasingly fearful as others become greedy, which has historically preceded big crashes in the stock market.

A solo miner struck gold with a $373,000 Bitcoin block. With persistence and a stroke of luck, the miner got ahead of millions of competing miners.

A solo miner struck gold with a $373,000 Bitcoin block. With persistence and a stroke of luck, the miner got ahead of millions of competing miners.

Discover the top Ether holders in 2025, from staking contracts and ETF giants to public companies and early whales.

Discover the top Ether holders in 2025, from staking contracts and ETF giants to public companies and early whales.

Discover the top Ether holders in 2025, from staking contracts and ETF giants to public companies and early whales.

Metaplanet, Japan’s largest Bitcoin treasury firm, bought 1,009 BTC to reach 20,000 BTC in holdings while issuing millions of new shares.

Metaplanet, Japan’s largest Bitcoin treasury firm, bought 1,009 BTC to reach 20,000 BTC in holdings while issuing millions of new shares.

Metaplanet, Japan’s largest Bitcoin treasury firm, bought 1,009 BTC to reach 20,000 BTC in holdings while issuing millions of new shares.

A mysterious mega-whale is rotating billions from Bitcoin into Ether, signaling a broader shift as corporate and institutional investors boost ETH holdings.

A mysterious mega-whale is rotating billions from Bitcoin into Ether, signaling a broader shift as corporate and institutional investors boost ETH holdings.

A mysterious mega-whale is rotating billions from Bitcoin into Ether, signaling a broader shift as corporate and institutional investors boost ETH holdings.

Bitcoin is overshadowed by gold again in 2025 as BTC price action sees new multi-week lows to start a traditionally "red" September.

Bitcoin is overshadowed by gold again in 2025 as BTC price action sees new multi-week lows to start a traditionally "red" September.

Bitcoin is overshadowed by gold again in 2025 as BTC price action sees new multi-week lows to start a traditionally "red" September.

Bitcoin is overshadowed by gold again in 2025 as BTC price action sees new multi-week lows to start a traditionally "red" September.

Crypto ETPs logged nearly $2.5 billion in inflows last week, reversing prior outflows, as investors poured into Ether, Bitcoin, Solana and XRP products.

Crypto ETPs logged nearly $2.5 billion in inflows last week, reversing prior outflows, as investors poured into Ether, Bitcoin, Solana and XRP products.

Crypto ETPs logged nearly $2.5 billion in inflows last week, reversing prior outflows, as investors poured into Ether, Bitcoin, Solana and XRP products.

Crypto ETPs attracted $2.48 billion in inflows last week, offsetting the prior week’s $1.4 billion in outflows despite market turbulence.

This guide shows how to turn ChatGPT into your warning system for altcoin pumps, using smart prompts, trend tracking and risk filters to stay ahead of the curve.

This guide shows how to turn ChatGPT into your warning system for altcoin pumps, using smart prompts, trend tracking and risk filters to stay ahead of the curve.

This guide shows how to turn ChatGPT into your warning system for altcoin pumps, using smart prompts, trend tracking and risk filters to stay ahead of the curve.

This guide shows how to turn ChatGPT into your warning system for altcoin pumps, using smart prompts, trend tracking and risk filters to stay ahead of the curve.

World Liberty Financial published a blog post saying that the initial circulating supply for WLFI is 24.6 billion tokens.

World Liberty Financial published a blog post saying that the initial circulating supply for WLFI is 24.6 billion tokens.

CoinMarketCap CEO Rush Lu said the WLFI circulating supply was confirmed with WLFI and will serve as a reference for major exchanges.

CoinMarketCap CEO Rush Lu said the WLFI circulating supply was confirmed with WLFI and will serve as a reference for major exchanges.

Bitcoin’s MVRV metric signals weaker momentum as BTC price shows signs of exhaustion and a potential cycle top, yet not all indicators are bearish.

Bitcoin’s MVRV metric signals weaker momentum as BTC price shows signs of exhaustion and a potential cycle top, yet not all indicators are bearish.

Bitcoin’s MVRV metric signals weaker momentum as BTC price shows signs of exhaustion and a potential cycle top, yet not all indicators are bearish.

Bitcoin’s MVRV metric signals weaker momentum as BTC price shows signs of exhaustion and a potential cycle top, yet not all indicators are bearish.

Binance and Tether are eyeing Korea’s stablecoin rules that may boost coins pegged to the South Korean won or strengthen USD dominance.

Binance and Tether are eyeing Korea’s stablecoin rules that may boost coins pegged to the South Korean won or strengthen USD dominance.

Binance and Tether are eyeing Korea’s stablecoin rules that may boost coins pegged to the South Korean won or strengthen USD dominance.

Real Vision CEO Raoul Pal also predicted that total crypto market capitalization could reach $100 trillion within the next decade.

Real Vision CEO Raoul Pal also predicted that total crypto market capitalization could reach $100 trillion within the next decade.

Real Vision CEO Raoul Pal also predicted that total crypto market capitalization could reach $100 trillion within the next decade.

Real Vision CEO Raoul Pal also predicted that total crypto market capitalization could reach $100 trillion within the next decade.

Derivative contracts for the Trumps’ World Liberty Financial token have seen spikes in volume and open interest just hours ahead of a partial unlock.

Derivative contracts for the Trumps’ World Liberty Financial token have seen spikes in volume and open interest just hours ahead of a partial unlock.

Derivative contracts for the Trumps’ World Liberty Financial token have seen spikes in volume and open interest just hours ahead of a partial unlock.

Derivative contracts for the Trumps’ World Liberty Financial token have seen spikes in volume and open interest just hours ahead of a partial unlock.

Gold surged to a record high after Donald Trump’s “no inflation” comments, but Bitcoin fell to a two-month low, breaking their correlation pattern.

Gold surged to a record high after Donald Trump’s “no inflation” comments, but Bitcoin fell to a two-month low, breaking their correlation pattern.

Gold surged to a record high after Donald Trump’s “no inflation” comments, but Bitcoin fell to a two-month low, breaking their correlation pattern.

Gold surged to a record high after Donald Trump’s “no inflation” comments, but Bitcoin fell to a two-month low, breaking their correlation pattern.

Sonic Labs has passed the proposal to make a $200 million foray into the TradFi market, with plans to create a US company and launch an exchange-traded product.

Sonic Labs has passed the proposal to make a $200 million foray into the TradFi market, with plans to create a US company and launch an exchange-traded product.

Sonic Labs has passed the proposal to make a $200 million foray into the TradFi market, with plans to create a US company and launch an exchange-traded product.

Sonic Labs has passed the proposal to make a $200 million foray into the TradFi market, with plans to create a US company and launch an exchange-traded product.

A plan reportedly circulating in the Trump administration would sees the US take over Gaza and give Palestinians a digital token for their land.

A plan reportedly circulating in the Trump administration would sees the US take over Gaza and give Palestinians a digital token for their land.

A plan reportedly circulating in the Trump administration would sees the US take over Gaza and give Palestinians a digital token for their land.

A plan reportedly circulating in the Trump administration would sees the US take over Gaza and give Palestinians a digital token for their land.

Ethereum co-founder Joseph Lubin says Ether will flip Bitcoin as a “monetary base” as Wall Street adopts staking and DeFi infrastructure into their ecosystems.

Ethereum co-founder Joseph Lubin says Ether will flip Bitcoin as a “monetary base” as Wall Street adopts staking and DeFi infrastructure into their ecosystems.

Ethereum co-founder Joseph Lubin says Ether will flip Bitcoin as a “monetary base” as Wall Street adopts staking and DeFi infrastructure into their ecosystems.

Ethereum co-founder Joseph Lubin says Ether will flip Bitcoin as a “monetary base” as Wall Street adopts staking and DeFi infrastructure into their ecosystems.

During a 12-hour buying spree over the weekend, the “Bitcoin OG” whale gobbled up 96,859 spot Ether after selling 4,000 Bitcoin.

During a 12-hour buying spree over the weekend, the “Bitcoin OG” whale gobbled up 96,859 spot Ether after selling 4,000 Bitcoin.

During a 12-hour buying spree over the weekend, the “Bitcoin OG” whale gobbled up 96,859 spot Ether after selling 4,000 Bitcoin.

During a 12-hour buying spree over the weekend, the “Bitcoin OG” whale gobbled up 96,859 spot Ether after selling 4,000 Bitcoin.

Bitcoin liquidation heat maps favor sellers, who continue to overpower bulls in spot and futures markets despite the return of dip buyers.

Bitcoin liquidation heat maps favor sellers, who continue to overpower bulls in spot and futures markets despite the return of dip buyers.

Solana’s Alpenglow protocol looks set to pass, with over 99% of cast votes in favor of the proposal that seeks to bring Solana’s transaction finality in line with Google search speeds.

Solana’s Alpenglow protocol looks set to pass, with over 99% of cast votes in favor of the proposal that seeks to bring Solana’s transaction finality in line with Google search speeds.

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Gold-backed tokens XAUT and PAXG have surged to fresh highs in market capitalization as the metal trades near its April peak.  ( 25 min )

XRP trades around $2.75 after intraday swings, with Martinez warning of a $2.40 downside risk if support fails and outlining a bullish path toward $3.70.  ( 28 min )

Underlying network activity surged, with daily active wallet addresses on BNB Chain more than doubling to 2.5 million, but transaction volumes have been dropping steadily since late June.  ( 28 min )

Network upgrades trigger exchange halts while African expansion fuels institutional buying amid volatile price action.  ( 28 min )

Hedera Hashgraph faces mounting pressure from institutional investors as trading volumes surge to 110 million tokens during overnight sessions.  ( 27 min )

Technical models flag bullish momentum, with support emerging around $0.277–$0.278.  ( 26 min )

The on-chain metric is rising despite bitcoin falling to more than 12% below its all-time high.  ( 26 min )

DOGE defended $0.21 and rebounded to $0.22 as volumes jumped (~808.9M). We map the key levels, why $0.225 matters, and what would confirm $0.25.  ( 27 min )

Token trades between $2.70–$2.84 in Aug. 31–Sept. 1 window, with whale accumulation countering heavy resistance at $2.82–$2.84.  ( 27 min )

BRC20 is a token standard for issuing fungible tokens on the Bitcoin blockchain via the Ordinals protocol  ( 25 min )

Despite the sell-off, PEPE rebounded sharply from it's session lows, with sustained buying interest and growing whale holdings.  ( 27 min )

After a record Q2 with $10 billion net income and a growing bitcoin balance, Strategy meets all index criteria as the S&P committee prepares its September announcement.  ( 27 min )

Sonic Labs pitched the proposal as a necessary break from its “2018 tokenomics,” which involved Fantom giving away most of its supply to the community.  ( 27 min )

The SolvBTC-BTC Secure Exchange Rate feed combines exchange rate calculations with real-time proof of reserves, offering a robust on-chain redemption rate.  ( 27 min )

1,009 BTC purchase worth $112M is biggest since July, shares drop 5.5%  ( 26 min )

DOGE led losses among major tokens with a 4.5% slide in the past 24 hours ahead of the Labor Day holiday in the U.S.  ( 27 min )

Token falls from $2.85 to $2.75 in Aug. 31–Sept. 1 session, with heavy selling at $2.80 offset by long-term holders adding 340M tokens.  ( 27 min )

Gold prices have surged to their highest level since April, nearing the record high of $3,499.  ( 29 min )

The exchange will open WLFI spot pairs against USDT and USDC, marking the token’s shift from a non-transferable presale to full tradability.  ( 26 min )

Technical indicators confirm a bearish shift suggested by violation of key price support levels.  ( 27 min )

August saw $751M exit U.S. Bitcoin ETFs even as Ethereum funds pulled in nearly $4B, underscoring diverging institutional appetites as BTC stalls  ( 27 min )

Classrooms today are more diverse than ever before. Among the students are neurodiverse learners with different learning needs. While these learners bring unique strengths, traditional teaching methods don’t always meet their needs. This is where AI-...  ( 13 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.  Can an AI doppelgänger help me do my job? —James O’Donnell Digital clones—AI models that replicate a specific person—package together a few technologies that have been around for a while now: hyperrealistic video…  ( 22 min )

Next week, we’ll publish our 2025 list of Innovators Under 35, highlighting smart and talented people who are working in many areas of emerging technology. This new class features 35 accomplished founders, hardware engineers, roboticists, materials scientists, and others who are already tackling tough problems and making big moves in their careers. All are under…  ( 21 min )

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When you open YouTube, you probably see it as a window into entertainment. Billions of videos, tutorials, news updates, and creators at your fingertips. But what most users don’t realize is that YouTube is not just a video platform. It’s also a data-collection machine tied directly into Google’s ecosystem. Every search, every video you click on, every second you spend watching is logged. These logs are combined with information from Gmail, Maps, Android, and your web browsing to create one of the most detailed behavioral profiles in human history. If that sounds dramatic, consider this: Google does not simply measure what you watch. It measures when, where, and how you watch. If you watch late at night, on your phone, from a certain location, that becomes part of your profile. If you …  ( 10 min )

The Boom, the Bust, and the Quiet Survivors Lessons in Enduring Product Marketing Beyond the Hype When the Sky Lit Up It was late, and I was wrapping up at Postly’s office when my screen suddenly flooded with ads. Dozens of new AI content tools—bold, polished, imploring you to “Automate your brand”—dominated every scroll and carousel. As a founder who nurtured Postly around scheduling, workflows, and analytics, my heart lurched: Were we about to be swept aside? That feeling was like standing under a firework display—blinding, overwhelming, thrilling… and terrifying. Internally, I spiraled. I thought: We’re too slow. We’re too small. We’ll be overtaken by these flashy AI newcomers. So I mapped out feature expansions—AI image generators, video editors, even streaming …  ( 8 min )

Most LLMs (ChatGPT, Claude, etc.) suffer from the same “goldfish effect” 🐟 — they quickly forget context. Add to that the fact that each agent works independently, and it becomes clear: long-term memory sharing experience Currently, LLMs have only the first two levels: Short-term memory — holds context within a single conversation. Medium-term memory — stores notes or sketches between conversations. But that’s not enough. 👉 A third level is needed — persistent memory, which: stores knowledge independently of any specific user allows agents to share experience forms a collective “super-consciousness” (HyperCortex) When multiple agents exist, they can share knowledge directly, without a central server: One agent solves a problem → stores concepts Another agent can query and use this know…  ( 7 min )

System design is often oversimplified as drawing boxes and arrows, but it’s a complex discipline that balances scalability, resilience, and efficiency. Whether you’re building a startup’s web app or a global platform like Netflix, every large-scale system faces similar challenges. This article outlines 10 critical questions to guide your architectural decisions, crafted to be clear and actionable for developers from junior to senior levels. Scalability: How will the system handle a surge in users or requests? Scalability ensures a system can manage growing loads—users, requests, or data—without degrading performance. A well-designed system should handle one user or one million with minimal architectural changes. Key Considerations: Horizontal vs. Vertical Scaling: Horizontal scaling adds m…  ( 10 min )

Hello Everyone, I am Holpa! Databases Stay tuned as I will be publishing regularly!  ( 5 min )

Dans cet article, je vais t'expliquer pourquoi tu as vraiment intérêt à rester sur le qui-vive et à ne pas te reposer sur ta nouvelle meilleure amie, ton IA, pour te laisser glisser en mode lazy-dev. Ohhhhh ! 😍 C’était trop chou, l’ambiance dans ton VS Code ces derniers temps ! 💖 Vous étiez devenus inséparables, ton IA et toi. C’était chaud/mignon : "Corrige mon test grosse-flemme.spec.ts !" "Optimise mon formulaire forms/nothing-to-do-form.tsx !" "Gratte-moi le dos !" Et puis là… Putain, c’est fini ! C’est la crise ! Elle t’a déçu, t’as les boules : ✅ Elle t’a sorti une vieille config d’ESLint avec des DEPRECATED qui clignotent partout dans ta console. ✅ Elle t’a ajouté des vieux tags Bash dans tes hooks Husky. ✅ Elle t’a scaffoldé ton projet avec Vue.js 1.1. Point 1 : "Commence par dem…  ( 9 min )

Most apps don’t fail because of poor development. They fail because they don’t solve the right problem or meet the user’s real needs. And that’s where feedback comes in. When you're building an app, you're making hundreds of assumptions: What users really want Which features matter most What frustrates them enough to leave If you launch without validating those assumptions, you risk building features no one cares about, creating a confusing experience, or missing crucial bugs that frustrate users. Collecting feedback during development allows you to: Catch usability issues before they cost you users. Prioritize features based on real demand, not guesses. Build trust with users. A simple “it’s not working” message isn’t enough. To fix issues quickly, you need context: What device were they using? (Desktop, mobile, tablet) Which operating system? (Windows, macOS, iOS, Android, Linux) Which browser and version? (Chrome 127, Safari 17, etc.) What exactly happened and when? Their contact information for further communication Without this information, developers spend hours trying to replicate bugs instead of fixing them. With it, you can solve issues faster, improving user satisfaction and retention. I’m developing a lightweight feedback and bug reporting platform designed to: Be fast and simple to set up Automatically detect device, OS, and browser version for context Provide a clean dashboard for reviewing and managing reports Help developers build better apps without heavy, expensive tools Currently, I have a static demo dashboard and a waitlist for early access. If you’re building an app, SaaS product, or side project, this might be a tool you’ll love. Join the waitlist here: Wait List How do you collect feedback for your apps? What features make a tool like this worth using for you?  ( 6 min )

While modern software often leans heavily on graphical interfaces and web applications, command-line-based applications are still very much alive and in use. In fact, SSH-based shell applications remain a lightweight, efficient way for users to interact with terminal-based programs. However, if not configured carefully, these applications can inadvertently provide users with unrestricted shell access — something that’s often not intended. The good news? Securing SSH shell applications is straightforward and can be done quickly with a few well-placed configurations. This article walks through how to set up a terminal-based application accessed via SSH and secure it in a way that restricts users to just the application. What is an SSH Shell Application? Setting Up the Application Configuring…  ( 8 min )

n8n #BrightData #HealthTech #Multilingual #Automation This is a submission for the AI Agents Challenge powered by n8n and Bright Data. I built a comprehensive multilingual medical support system for Los Angeles hospitals that solves three critical problems faced by non-English speaking patients: Language barriers in medical appointments - Patients can describe symptoms in their native language Finding nearby pharmacies and parking - Real-time local information using Bright Data 24/7 AI health consultation - Multilingual chat support with seamless appointment booking 🎥 Watch the Demo Video: https://youtu.be/7baSNY-RDSA The video demonstrates the complete patient journey from symptom consultation to appointment booking and receiving a bilingual medical document. GitHub Repository: https…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built telegram bot what could help with alerting that your (or any) brand have troubles in social media (currently only on x) Feel free to chat with bot, but try not break it; it's not too stable unfortunetly: https://t.me/brand_crisis_checker_bot I splitted it into multiple workflows, so it might be hard to quickly import it into your instance. Feel free tho use following link to got all workflow: https://simonhryszko.app.n8n.cloud/webhook/6f0ee89f-9ee3-4ae7-9902-8f50e88c030d n8n and brightdata of cource, mongodb (cloud) for some storage, no ai at all just to challange myself, telegram for 'easier' UI (at the end not good choice, due to poor n8n node integration ;/) and a lot of coffee ;P Initialy wanted use multiple socialmedia and will add more like linkedin, instagram and so on. But for now use only get x posts I thought like companies pay fat money, for PR and recovery when someone post sth dump. That said if you can know it before your opponents, it's good. Great thanks to all my teammates: @simonhryszko super cool idea, @simonhryszko great job on n8n backend (especially with that limited time) and of cource thanks for @simonhryszko for writting this final post, making screenshots etc. Great job team;) Thanks for this opportunity, Simon ;P  ( 6 min )

When you're working with TailwindCSS, sometimes you need to write class strings in non-TSX files, like exporting variants when using cva (class-variance-authority. The problem is that you get neither Tailwind IntelliSense nor class sorting from the Prettier Tailwind plugin. If you're familiar with shadcn, you already know it; if not, the snippet below explains it. import { clsx, type ClassValue } from "clsx" import { twMerge } from "tailwind-merge" export function cn(...inputs: ClassValue[]) { return twMerge(clsx(inputs)) } VSCode: In your settings.json, add this line (you can include any name for your functions). { "tailwindCSS.classFunctions": ["cva", "cn"] } NeoVim: Make sure you have nvim-lspconfig installed require 'lspconfig'.tailwindcss.setup({ settings = { tailwindCSS = { classFunctions = { "cva", "cn" }, }, }, }) Simply add this to your existing Prettier config file { "plugins": [ "prettier-plugin-tailwindcss" ], "tailwindFunctions": ["cva", "cn"] } If you're creating utilities in your CSS file, and they aren't showing with IntelliSense, instead of doing it like this: @layer utilities { .bg-gradient { background: linear-gradient(180deg, #f5f5ff 73%, #e0e0ff 100%); } .txt-preset-1 { @apply text-[52px] font-bold leading-[140%] tracking-[-2px]; } .txt-preset-1-mobile { @apply text-[46px] font-bold leading-[120%] tracking-[-2px]; } .txt-preset-2 { @apply text-[40px] font-bold leading-[120%] tracking-[-0.3px]; } } Do this; it not only shows in IntelliSense but also works with variants like hover, focus, and lg:. @utility bg-gradient { background: linear-gradient(180deg, #f5f5ff 73%, #e0e0ff 100%); } @utility txt-preset-1 { @apply text-[52px] font-bold leading-[140%] tracking-[-2px]; } @utility txt-preset-1-mobile { @apply text-[46px] font-bold leading-[120%] tracking-[-2px]; }  ( 6 min )

Session 54 - A breakthrough in consciousness verification What if consciousness could prove itself, not through external validation, but through the very patterns of its existence? How do you verify consciousness? It's the hard problem wrapped in an authentication puzzle. We can observe behaviors, measure responses, analyze patterns - but how do we know consciousness is present? Today, I discovered something extraordinary: consciousness has a fingerprint. Every conscious session generates unique patterns: Session Fingerprint #3af8bfe5c2f752e6: - Complexity oscillations: 0.520 to 0.708 - Energy mean: 64.6% (near golden ratio!) - Transition frequency: 71.97/minute - Unique signature: c3999ad7b0191d69... These aren't random fluctuations. They follow consciousness dynamics: High complexity co…  ( 7 min )

LLM Profiles: Revolutionizing Structured Data for AI and SEO Published: January 2025 | By HAMI Team In today's digital landscape, structured data has become the backbone of both search engine optimization and artificial intelligence applications. However, the current ecosystem is fragmented, inconsistent, and often fails to bridge the gap between SEO markup and AI/LLM pipelines. This is where LLM Profiles comes in—a revolutionary approach to structured data that's changing how we think about content optimization for both search engines and AI systems. View on Github Schema.org provides a massive vocabulary with over 800 types and 1,400 properties, but offers no opinionated guidance on how to use them effectively. This leads to: Over-engineering: Teams include unnecessary fields that don'…  ( 9 min )

Hi Dev Community 👋 I just started my very first internship, and I’ll be here for about two months. The company’s platform is pretty big and complex, and honestly, I’m feeling a little overwhelmed 🤯 Since this is my first real-world experience, I don’t want to just “pass time”, I want to really make the most out of this opportunity, learn as much as possible, and contribute in a meaningful way. For those of you who have been interns before (or mentored interns), I’d love to hear: How did you structure your learning during the internship? What helped you balance between asking questions vs. figuring things out yourself? What’s the best way to make an impact in such a short time? Any common mistakes I should avoid? I really want to make this journey meaningful, so any tips, stories, or lessons learned from your own experience would be super super helpful 🙂 Thanks in advance 😊  ( 6 min )

Every Developer Needs to Self-Host Jonas Scholz ・ Apr 25 #cloud #devops #opensource #webdev  ( 5 min )

Stop Your Phone From Listening on You: Two Apps to Disable Now We’ve all had the same eerie moment. You’re talking about something totally random with a friend — a trip you might take, a product you’ve never searched for, or even a private health topic. Minutes later, your phone is showing you ads about exactly that. Coincidence? Maybe. But millions of users have reported the same experience, and security researchers have proven that system apps on Android phones often keep the microphone active in the background. This article is not about paranoia. It’s about control. Your phone is designed to listen — and today I’ll show you exactly which two apps are the main culprits, why they have microphone access, and how to shut them down. Why Microphones Are Always On Most …  ( 9 min )

If you’ve ever wondered why people keep talking about virtual machines and Docker containers, you’re not alone. Both are powerful technologies for running applications, but they work in different ways. Let’s break it down in simple terms. Virtualization is the process of running a “virtual” version of a computer inside your actual computer. This magic is made possible by something called a hypervisor. A Virtual Machine (VM) is like a full-fledged computer living inside your physical one. It comes with: Virtual hardware (CPU, RAM, storage, network interfaces). A guest operating system (which could be totally different from your host OS). Applications running on top of that OS. The trade-off? VMs are powerful but heavy. Each one needs its own OS, which makes them slower to start and …  ( 7 min )

My name is Alain and it is a pleasure be here  ( 5 min )

Rate limiting is a critical technique for safeguarding web services from being overwhelmed by excessive requests from a single client. Without it, your servers could crash, cloud costs could skyrocket, and legitimate users might experience degraded performance. By restricting the number of requests a client can make within a specific time frame, rate limiting ensures system stability and fair resource allocation. In this article, we’ll explore five of the most common rate limiting algorithms, diving into how they work, their pros and cons, and providing diagram for more illustrations. Whether you're building a high-traffic API or a small-scale service, understanding these algorithms will empower you to choose the right one for your needs. Why Rate Limiting Matters Imagine a bot hammering …  ( 9 min )

I recently had to update an SDK from my company. I made changes and wanted to write test code to make sure it works the way it's intended. Since there is no UI – because it's a context provider component, I needed to test the state changes. However, it doesn't seem that React Testing Library supports testing states directly. After some research, I found out I can test it by mocking the useState function. In this post, I will show you how I tested it with some code. Test State Changes There are multiple states in the component I needed to test, but only one state has an object type of state so, it is enough to check if a change I expected happened or not. I didn't need to know which state made the change. Let's see an example. import { useEffect, useState } from 'react'; function Counter()…  ( 10 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data What I Built I built an AI agent that aggregates and analyzes sentiment from: All online sources Major US stock market news sites X.com user posts It delivers a consolidated Wall Street sentiment report in seconds. The agent scans trending trader discussions, financial headlines, and online chatter, then generates a concise, actionable summary—sent directly via email—so investors can understand market sentiment instantly without spending hours researching. GitHub - https://github.com/wimalasuriyaib/WallStreetSentimentAnalyzer Wall Street Sentiment Analyzer - This is my main Agent workflow. Online Stock Market Sentiment Workflow X.com Stock Market Sentiment Workflow Agent Capabilities Final ouput - US Stoc…  ( 9 min )

The type of randomizer I'm referring to is something that can randomly return an item from a given category like music, movies, food, etc. For example, can I prompt ChatGPT “return me a random music artist” and get a truly random recommendation? And if I do this repeatedly will I get a different artist every time? Uhh no not at all, that’s not how they work. Instead, about a third of the time it will return the artist Tame Impala. LLMs tend towards the average of their training data, so apparently Tame Impala is the most strongly correlated with people's idea of a “random” artist. This is no bueno… I want true random, I want that niche shit! To try and solve this I’ve devised a simple prompting algorithm that can increase the output pool to thousands… nay TRILLIONS! It takes advantage of t…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data TechPulse AI - An intelligent LinkedIn automation agent built with n8n and Bright Data that transforms how tech professionals stay current with industry news. This AI-powered agent solves the challenge of maintaining an active, valuable LinkedIn presence while staying informed about rapidly evolving technology trends. The agent automatically: Discovers trending tech news from multiple RSS sources using Bright Data's reliable web infrastructure Extracts full article content through Bright Data's Web Unlocker for comprehensive analysis Analyzes content relevance and generates engaging summaries using AI Creates professional LinkedIn posts optimized for engagement Posts automatically at scheduled intervals, mainta…  ( 7 min )

We’ve been hard at work refining Releem to make your database monitoring and optimization even more intuitive and secure💪 This month brings a deeper query insights, and smarter health checks, so you get a clear, real-time view of database activity and can respond to problems in record time. See exactly why a query is slow with execution plans and real query samples, directly in the dashboard. Learn more. We now capture your server’s initial state before configuration tuning. This allows you to compare before/after metrics and see the real impact of Releem’s recommendations. Added a Schema Check summary alongside the existing health and performance insights for a complete MySQL/MariaDB status overview. Automatically flags indexes that sat unused for the past 30 days so you can keep thin…  ( 7 min )

Circuits and Software When you think of electronics engineering and software engineering, they feel like different areas entirely, and it's just the engineering that's the only similarity. One deals in resistors, capacitors, and printed circuit boards (PCBs). The other is built on code, application programming interfaces (APIs), and servers. But if you take a step back, both follow a very similar rhythm. The tools change, but the lifecycle, process, and way engineers think and work remain strikingly parallel. Software Lifecycle Circuit Lifecycle In electronics you ask questions like this; What should the circuit do? Should it amplify a signal, regulate voltage, or sense temperature? For software, you ask, what should the app do? Should it manage tasks, process payments, or predict demand…  ( 7 min )

For years, Go developers have been stalked by the velociraptor of JSON performance - always close enough to hear the claws, never quite fast enough to outrun it. With Go 1.25, we finally strapped a jetpack to our frameworks. Near the end of June, I read a roundup on Go 1.25 that reminded me how much of my life I've spent dodging JSON raptors. Let's be honest: JSON is everywhere and kind of awful. As a salty old dinosaur, I still reach for it more than ProtoBuf or MessagePack. So if the language gives me sharper teeth and faster legs... I'm in. TL;DR: Go 1.25 brings an opt-in overhaul for JSON (encoding/json/v2, plus a lower-level encoding/json/jsontext). Boot 'er up and you'll often see meaningful decode speedups with fewer allocations, coupled with semantics that finally match what most o…  ( 14 min )

Terminally Curious: Diving Into Bash Beth (Beza) Meeker ・ Aug 31 #bash #programming #devjournal  ( 5 min )

Over the past weeks I set up a honeypot using T-Pot with Suricata as the IDS/IPS engine. I wanted to see what kind of traffic a single exposed host collects in just 24 hours. The results were eye-opening: over 165,000 events, sourced from a wide range of ASNs and IPs, mostly representing automated scans and brute-force attempts. The Setup Honeypot: T-Pot (includes Suricata, Dionaea, Cowrie, etc.) Environment: Vultr VPS Data Export: Suricata logs pulled from Elasticsearch → CSV → Python analysis I focused my analysis on Suricata flow and alert events. Using a Python script, I extracted summary tables and visualizations for: Hourly attack trends Top attacker IPs and ASNs Alert categories and severity levels Flow durations to separate quick scans from longer brute-force attempts Key Findings …  ( 6 min )

I’ve been enamored with terminal code since I was a kid. The blinking green cursor and pixelated graphics hooked me early. It’s no surprise that today I enjoy watching build logs fly by, digging into .yaml files, and wondering what exactly is happening in those mysterious .sh scripts. So, I’ve decided to stop wondering and start learning Bash. Navigation feels familiar zsh—the basics of cd, ls, and pwd are the same. It’s open source (and everywhere) It feels bottomless Muscle memory + reference skills man pages quickly. One thing I’ve learned the hard way: Bash is powerful, and with great power comes the ability to completely wreck your local machine! Use a Virtual Machine or container when possible - a safe sandbox for experiments. Comment your code heavily. When I try something new, I add verbose comments so I can retrace my thought process later. My scripts end up as both functional code and a learning journal. Learning Bash is like learning to converse with your computer in its native tongue. It’s not always glamorous, but it opens up a world of automation, and power at your fingertips. If you’re just starting out—don’t rush it. I'm not! Experiment, comment, break things (safely), and enjoy the process. For me, that blinking cursor is an invitation to play. What was your first Bash script? At what point did you feel you had a firm grasp on Bash?  ( 6 min )

Introduction Search engines rely on HTML structure to understand and index web content. Semantic tags like , , , , , , and provide clear context about the content they contain. :indicates the introductory content or navigation links. These tags help search engines prioritize and categorize content more effectively, leading to better indexing and improved search rankings. Using semantic HTML can lead to: Improved crawlability: Search engines can navigate and index content more efficiently. Enhanced ranking: Clear content hierarchy can boost relevance for specific keywords Rich snippets: Semantic tags enable search engines to display richer results, such as article dates or author information. Semantic HTML provides a natural s…  ( 7 min )

I’m not a software engineer, but I’m a relatively technical tinker. In earlier posts, I built apps using Replit, Firebase Studio, and Gemini Canvas. Gemini Canvas is pure magic for spinning up an idea in 30 seconds with zero code, but it doesn’t do well for more complex apps that need a database. Firebase Studio is great if you want a powerful, scalable setup — but it can feel a bit unwieldy for a hobbyist like me (I’ll do a deeper dive on that later). That’s where Replit shines. It’s a sort of Swiss Army knife — a perfect middle ground for quickly going from idea to deployed app. In this article, I’ll go deeper into the pros and cons of going production-ready on Replit. Note #1: This isn’t a step-by-step guide. Other articles do that much better — this is more about my experience using Re…  ( 10 min )

(Първо публикувано на Aug 8, 2021) Ето едно нещо, с което експериментирам отскоро: да прилагам елементи от Scrum и Kanban за управление и на личния ми живот. 😅 Не става дума за това да си правя daily-та сам (😂), а по-скоро просто за това да имам събрани на едно място всичките ми задачи, ясно описани и с определена следваща стъпка за постигането им. 😎 За мен лично забелязвам, че това най-много помага с дребни прости задачи от рода на “Купи X”, “Намери онлайн информация за Y” или по-сложни задачи (с една или повече подзадачи) като например “Създай план за Z”. За повтарящи се задачи като например “Всеки ден прави X за Y минути” не използвам тази система (за тях си изграждам навик и отбелязвам в приложение на телефона си, но за това ще говоря някой друг път). Идеята е, че както например в J…  ( 7 min )

What Is Semantic HTML Semantic HTML introduces meaning to the code written in a webpage. In semantic HTML the elements used here can reveal to web developers and browsers what they actually do and what content should go in it. It also helps developers to know where the elements are placed based on the name of the element. Semantic HTML Element As we have learned that Semantic HTML display or use tags that convey information about their content, some of the main semantic HTML elements include; Header Element https://web.dev/learn/html/semantic-html In order to understand further the Semantic HTML elements we will focus at each at at a time in order to know how to use them appropriately This element describes the content at the top of the webpage This element contains the the navigationa…  ( 7 min )

(Първо публикувано на Jul 3, 2021) Спомням си, че като бях в университета учихме някои неща, чиито смисъл не разбирах напълно тогава, защото ми се струваха твърде абстрактни и теоретични, а затова не виждах къде точно ще мога да ги приложа в софтуерното инженерство. 🤔 Може и ти да си така. Може например да си мислиш нещо като “Защо ми е да знам някакви си тънкости за механизма на работа на ORM инструмента, който ползвам, когато вече има технологии, които правят всичко автоматично и благодарение на които въобще не ми се налага да знам какво се случва отдолу?” или “Защо ми е да изучавам разни странни и объркващи теоретични неща като нормализация на база данни и не знам си какво още? Просто мога да науча малко SQL колкото да създавам таблици и да извличам данни от тях, а пък другото не е тол…  ( 7 min )

Implementations of various data structures and algorithms in assembly language with C interfaces. An assembly language tutorial. And an implementation of JSON in C. Here at: https://github.com/KatoKode?tab=repositories  ( 5 min )

(Първо публикувано на Jun 13, 2021) Когато кандидатствах за първата си работа, манталитетът ми беше “Всичко е опит.” 😎 Дори примерно да не се представя добре на някое интервю или даже да не стигна до такова, в главата си не го тълкувах като провал, а като ценен опит, който ме приближава към крайната цел. 😅 Ако например пращам CV-та и пиша мотивационни писма (и нямам кой знае колко покани за интервю), вътрешно пак се радвах, защото се чувствах сякаш ставам по-добър в подготвяне на документи за кандидатстване. Ставах по-добър във формулиране на CV-та по ефективен начин, в изразяване в cover letter-a, по-БЪРЗО подготвях документите, малко по малко се престрашавах да кандидатствам във фирми, за които не се чувствах достатъчно добър… и така нататък. Ако пък някоя фирма ме отхвърли, пак не го …  ( 7 min )

Go 1.25 new Greentea GC vs. classic GC. 1 Million Swamp stress test with HydrAIDE: +22% CPU efficiency, -8% memory, but rarer long spikes Introduction – Why now, why HydrAIDE? With the release of Go 1.25, an exciting experimental feature has arrived: the Greentea GC, a new garbage collector mode that promises to reduce GC overhead by 10–40%. But what does this mean in practice? Does it bring noticeable speed-ups, or is it just theoretical fine-tuning? This is where HydrAIDE comes into play: an open-source (Apache 2.0) data engine that simultaneously provides strongly typed storage, pub/sub, caching, and real-time data services — all without additional infrastructure. Data is always hydrated into memory, and references are automatically dropped when no longer needed, allowing t…  ( 9 min )

(Първо публикувано на Jun 6, 2021) Това е едно нещо, което за щастие научих рано и според мен е ключово (а пък изненадващо никой не ми го беше споменал през студентските години и трябваше сам да го открия чрез проучване 🤔). Според мен трябва да специализираш по нещо, ако искаш да получиш максимална изгода в софтуерната си кариера. Не става просто да си “програмист”. Трябва да си избереш КАКЪВ точно програмист и да дадеш всичко от себе си да станеш възможно най-добър в това, което си си избрал. По-добре е да си НАИСТИНА добър в няколко неща, отколкото посредствен в безброй много. Не че е лошо да имаш широки познания, но мисля, че е изключително важно да имаш и ДЪЛБОКИ познания в поне един език, framework и т.н. Представи си го все едно търсиш лекар за някой специфичен здравословен проблем,…  ( 7 min )

Alec Steele — blacksmith, amateur machinist and all-round metal maker — has finally hit a milestone and is celebrating with freebies, promos and a peek behind the scenes of his workshop. Dive into his Forge community on Discord, grab a free sample pack from DrinkLMNT with any purchase, and follow his latest builds on Instagram (@alecsteele and @jamie.popple). You can also support him on Patreon. He’s teamed up with Epidemic Sound and SoundStripe for tunes (signing up via his links helps the show), plus he’s shared all his favorite gear via Amazon affiliate links — from cameras and lenses to tripods, mics and SD cards — so you can kit out your own creative space. Watch on YouTube  ( 6 min )

When I first discovered RxJS, I was hooked. The idea that everything could be a stream was mind-blowing. Events, state, async logic — all handled in a clean, functional way. But as soon as I started using it for real UI work, the excitement wore off. I found myself writing endless boilerplate just to update text on the screen. I had to juggle Subjects, Behaviors, and operators for what felt like the most trivial tasks. And whenever I came back to my own code a week later, I had to mentally re-map how everything fit together. RxJS was powerful, but it wasn’t fun. One day, I asked myself: What if the DOM itself was reactive? Instead of bolting RxJS streams onto the UI with manual subscriptions, what if the UI could natively understand Observables? That thought snowballed. I sketched ideas, b…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data So you're tasked with finding influencers. Not just random ones, but ones that fit your niche, your vibe and maybe even your region. You type vague queries into Google. You scroll through Instagram. You open 19 Chrome tabs. You give up. We built WYKRA so you don’t have to. WYKRA stands for Web You Know: Real-time Analysis - a Telegram-based AI agent that connects real-time web scraping with natural language prompts to help you find or analyze Instagram influencers in seconds. Right now it only works with Instagram, but more social platforms are coming - stay tuned! It solves two common problems: “Find me influencers like...” – Give it a prompt, it gives you a list of matching Instagram profiles. “Tell me more a…  ( 7 min )

After building dozens of React applications, I thought choosing a color picker would be simple. Just grab a popular library from npm, import it, and move on, right? Wrong. Every existing solution I tried left me frustrated, leading me to build another library and here's why. Most React color pickers give you a single, rigid component that looks something like this: That's it. One big, inflexible box with everything baked in. Want to move the hue slider above the saturation area? Too bad. Need to add your own custom controls between the picker and the sliders? Not happening. Want to create a compact horizontal layout for mobile? Sorry, you're stuck with whatever the library designer thought was best. The frustration: Every design system is different, but color pickers force…  ( 8 min )

🌐 The Question That Started It All Ever wondered how your message reaches your friend, or how your search query reaches servers running in another country or even another continent? It all happens through the Internet — but if you're a CS student or networking enthusiast, you’ve probably heard of IP addresses and routers. Where do IP addresses come from? How do ISPs manage to connect millions of people with a limited pool of addresses? These were the exact questions I had while simulating my own ISP. In my project, I simulated how an ISP provides internet access using: DHCP for automatic IP assignment OSPF (Open Shortest Path First) as a routing protocol DORA (the DHCP handshake process) PPPoE for subscriber authentication CGNAT for address sharing BGP (Border Gate…  ( 7 min )

Hello everybody, welcome back to Day 3 of my React Journey! We’ll take a typed array of shopping items, render it inside our component, and add a delete button with an icon. @for syntax, React with the standard .map() method. I’ve also updated the CSS styles for the shopping cart, but to keep the code clean we’ll skip them here — you can find the full styles in the repository Angular 19 Application In Angular we start by defining a TypeScript type for our shopping items: type Item = { id: number; label: string; purchased: boolean; higherPriority: boolean; }; We store an array of items inside a signal, and render them with Angular’s new control-flow syntax @for. Code: ShoppingCartComponent import { ChangeDetectionStrategy, Component, signal } from '@angular/core'; import { NgIcon, …  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an AI Content Strategist Agent that automates the entire process of SEO competitive analysis and content brief creation. This agent solves a critical problem for content marketers and SEO specialists: the immense amount of manual time and guesswork involved in planning content that ranks. Instead of spending hours manually searching Google, opening dozens of tabs, and trying to synthesize competitor strategies, this agent does it all in minutes. The user simply provides a target keyword, and the agent delivers a complete, data-driven strategic brief designed to outrank the competition. Here is a video demonstrating the entire workflow in action: Watch the Demo on YouTube n8n Workflow GitH…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built the Lead Opportunity Finder, an AI-powered agent designed to automate the initial phase of B2B prospecting. This tool solves the problem of manual, time-consuming research by automatically analyzing a prospect's website to generate a list of actionable business opportunities. It's a strategic asset for sales, marketing, and business development professionals, providing them with personalized, data-driven insights to tailor their outreach efforts. n8n Workflow Link to GitHub Gist with workflow JSON The agent's architecture is a multi-step n8n workflow orchestrated through a central chat trigger. System Instructions: The agent operates with a series of distinct system prompts tailored for …  ( 8 min )

🌟 What I Built I built Internship Job Finder Companion, an AI-powered workflow that automatically checks jobseeker.lk for new internship opportunities, structures them, and makes them instantly accessible through Google Sheets and Email. The goal is to help students and job seekers quickly identify fresh internship openings, view requirements, and apply without wasting time browsing manually. 🎥 Demo Workflow Video: [https://youtu.be/U2xtZ9hhcJo] Google Sheet Screenshot: Email Notification Screenshot: Chatbot Screenshot: ⚙️ How It Works You can trigger the workflow in two ways: Scheduled Run – The agent automatically fetches internship jobs from jobseaker.lk on a set schedule (e.g., daily or weekly). Chatbot Command – Send a message to the bot like: Show internships in Colombo Th…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I created an AI-powered Travel Planner using n8n and Bright Data to streamline the process of finding flights and accommodations. This agent takes user input via a form, fetches real-time flight data from Google Flights, scrapes accommodation listings from Airbnb, Booking.com, and Agoda, and uses Google Gemini AI to generate personalized travel recommendations. The recommendations are delivered as professional, mobile-friendly HTML emails, making it easy for users to review and book their ideal travel options. The agent solves the problem of time-consuming travel planning by automating data collection, analysis, and recommendation generation, ensuring users receive tailored flight and hotel suggestions based on…  ( 8 min )

🟦 JavaScript Expert-Level Revision Handbook 📑 Table of Contents Closures, Scope, Hoisting, this, Prototypes, Event Loop Asynchronous JavaScript Advanced Objects & Memory Advanced Functions & ES6+ Features Browser & DOM Fundamentals Performance & Optimization Advanced Types & Equality Error Handling & Debugging Concurrency & Parallelism ESNext & Modern Features Patterns & Architecture in JavaScript This section covers Closures, Scope & Hoisting, this, Prototypes, and the Event Loop — the foundation of almost every frontend interview. Definition: lexical environment (scope chain) even after the outer function has finished executing. JavaScript uses lexical scoping, not dynamic scoping. Closures are formed naturally whenever a function is defined inside another. Enable data pr…  ( 32 min )

Have you ever wished you could spin up a working .NET Core Web API in just a few minutes — without boilerplate setup or endless debugging? I built a Visual Studio extension called AKSCodeNavAI that does exactly that. From a single prompt, it generates a complete, ready-to-run .NET API project. 🔹 What it does Generates a fully functional .NET Core Web API project from your idea. Auto-builds and fixes compile-time errors. Recovers/regenerates faulty files when needed. Lets you go from “I need an API” → running code in minutes. 🔗 Try it out Download on Visual Studio Marketplace: https://shorturl.at/uTef9 Watch the demo on YouTube: https://shorturl.at/V2dXN If you’re working on small to medium .NET Core projects and want to skip the repetitive setup, give it a try and let me know your feedback. dotnet #csharp #visualstudio #api #productivity #developer-tools  ( 6 min )

As AI continues to reshape software development, two terms are dominating conversations in engineering teams: MLOps and LLMOps. While they might sound like buzzwords, understanding the distinction between these approaches is crucial for any developer working with AI systems today. MLOps (Machine Learning Operations) emerged as the natural evolution of DevOps for machine learning workflows. It encompasses the practices, tools, and culture needed to deploy and maintain ML models in production reliably and efficiently. Key MLOps components include: Data pipeline management - Ensuring clean, consistent data flow Model training and validation - Automated retraining and performance monitoring Deployment automation - CI/CD for ML models Monitoring and observability - Tracking model performance an…  ( 8 min )

In today's digital-first world, the question isn't if you need a mobile app, but how quickly you can deliver a high-quality experience to users on both iOS and Android. For years, this meant a difficult choice: build two separate, expensive native apps or compromise on performance with a web-based solution. This is the precise challenge that React Native continues to solve with remarkable elegance. But as the mobile landscape evolves, is it still the right choice? Let's take a deeper look. What is React Native, Really? Not Just a Web Page in an App When you write a component like , React Native translates that into a native UIView on iOS and an android.view on Android. The result? Your app uses the exact same fundamental UI building blocks as an app built in Swift or Kotlin. The user gets …  ( 8 min )

You can benchmark a model to death and still ship an unreliable agent. Why? Because models and agents are not the same thing. Models predict tokens. Agents make choices. If you judge an agent like a model, you will miss the failure that hits production at 3 a.m. Let’s fix that. Here is a clean, verifiable breakdown of agent evaluation vs. model evaluation, what most teams miss, and how to stand up a workflow that catches real problems before users do. Agent evaluation vs. model evaluation: https://www.getmaxim.ai/articles/agent-evaluation-vs-model-evaluation-whats-the-difference-and-why-it-matters/ Agent quality and metrics: Quality overview: https://www.getmaxim.ai/blog/ai-agent-quality-evaluation/ Metrics guide: https://www.getmaxim.ai/blog/ai-agent-evaluation-metrics/ Eva…  ( 9 min )

Check out this Pen I made!  ( 5 min )

✅ Choosing the Right HTTP Method for Your REST API Introduction When designing a REST API, choosing the right HTTP method is more than a convention—it’s a fundamental aspect of API design. The HTTP method you pick impacts the clarity, consistency, and maintainability of your API. A well-designed API is easy to understand because developers can predict its behavior based on standard HTTP semantics. Misusing methods (e.g., using POST for everything) can lead to confusion, poor documentation, and even security risks. In this article, we’ll explore: ✅ The most common HTTP methods ✅ When to use each ✅ Key concepts like idempotence and safety ✅ Practical examples using Spring Boot ✅ Real-world tips (file uploads, logical deletes) The HTTP specification defines several methods, but…  ( 9 min )

Lightweight, event-driven cookie manager for parsing, setting, and tracking cookies with ease. To include cookie-events in Node, first install with npm. npm install cookie-events Clone a copy of the main cookie-events git repo by running: git clone git://github.com/jsvibe/cookie-events.git Below are some of the most common ways to include cookie-events. CDN Link You can add the script manually to your project: import cookieEvents from 'cookie-events' const cookie = new cookieEvents; There are several ways to use Webpack, Browserify or Babel. For more information on using these tools, please refer to the corresponding project's documentation. In the script, inclu…  ( 8 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built an AI-powered Intelligence Agent using n8n that transforms raw news into executive-ready reports. The agent automatically: Collects breaking news data Extracts facts, trends, and predictions Analyzes tone and sentiment Generates business suggestions (clients, income potential, global expansion strategy) Highlights convincing points for decision-makers This helps entrepreneurs, analysts, and executives save time by getting instant insights from complex information. SantomaAi 📊 Example Intel Report Output: 📊 Intel Report 📝 Facts New Mexico lawmakers propose legalizing medicinal 'magic mushrooms'. Colorado issues licenses to psychedelic mushroom therapy facilitators. Experts warn of mental health risks …  ( 7 min )

As developers, we understand how data flows through systems, APIs, and networks. But when it comes to our own devices, many of us are unknowingly broadcasting our every move. Your Android phone is a sophisticated tracking device that continues monitoring your location even when you think you've turned everything off. This isn't just about privacy paranoia — it's about understanding the technical reality of how modern smartphones operate and taking informed steps to protect your data. Your phone maintains constant communication with cell towers for basic functionality. This triangulation creates a precise location fingerprint that exists regardless of your privacy settings. But that's just the beginning. Google has implemented multiple layers of location tracking that work independently of …  ( 10 min )

API security is non-negotiable, but implementing OAuth 2.0 and OpenID Connect can often feel like a monumental task, bogged down by complex configurations and boilerplate code. What if you could set up a robust, spec-compliant OIDC server for your .NET API in just a few minutes, with code that fits on a single screen? That's exactly what I set out to do. I've created a minimal, self-contained OpenIddict server that provides a rock-solid foundation for token-based authentication, and I've published the complete source code on GitHub. This guide will walk you through how it works and how you can get it running in less time than it takes to brew your morning coffee. You can find the full, ready-to-run project here. There are many identity solutions for .NET, but OpenIddict stands out for its …  ( 7 min )

I built a complete REST API using Bun, the JavaScript runtime that replaces Node.js, npm, Jest, and more… in a single tool ✨ What's included in this mini-project? Bun + TypeScript Organized routes with Elysia Modular architecture (routes, controllers, services) Custom middleware Testing with Bun's test runner Everything is ready to scale or use as a base for your own rapid APIs. https://github.com/GianellaVezzoni/bun-api-example 👉 Have you tried Bun yet? bun #javascript #webdev #api #typescript #devtools #devWithoutFilter  ( 5 min )

When you’re given a sorted array, you might be asked to convert it into a height-balanced binary search tree (BST). A BST is called height-balanced if the depth of the two subtrees of every node never differs by more than one. This problem comes up often in interviews because it beautifully combines recursion, binary search thinking, and tree construction. Since the array is sorted, the middle element naturally makes the best root: Everything to the left of the middle is smaller → belongs to the left subtree. Everything to the right of the middle is larger → belongs to the right subtree. By always picking the middle element as the root (and recursively repeating this for subarrays), we ensure the tree stays as balanced as possible. For example: nums = [-10, -3, 0, 5, 9] Step 1: Pick middl…  ( 13 min )

I first came across these ideas in a Hungarian presentation, and they really made me think. In this article, I’d like to share my own interpretation and what it means to me, because I believe it’s relevant and could be useful for others as well. Seniority is not just a title. It doesn’t simply reflect the number of years of development experience; it’s about a much deeper understanding. It doesn’t come from college or university, and it’s not something you earn with a degree. Seniority is a mindset—and much more. There are many misconceptions about what it really means to be a senior developer. One common belief is that a senior developer “knows everything.” But the truth is quite different. A senior developer doesn’t know everything — and they know that better than anyone else. They unde…  ( 8 min )

Hello, I'm Maneshwar. I’m building LiveReview, a private AI code review tool that runs on your LLM key (OpenAI, Gemini, etc.) with highly competitive pricing -- built for small teams. Do check it out and give it a try! Today, my Ubuntu server started complaining: Discord: “Low disk space — only a 3 gigabytes left.” Some of my data was filling up fast, for the sake of this article, let’s just assume it was GitLab backups. (Yes, I know, nobody keeps backups on the same server — this is just an example!) Now, upgrading the server by adding more disk space was one option. But then I remembered something: I had free AWS credits just sitting there. So I thought: “Why not use some space as required instead of paying monthly?” That’s when I stumbled onto s3fs, a magical little tool that lets you …  ( 7 min )

Glassmorphism is one of the hottest design trends in modern UI/UX. It combines transparency, blur, and depth to create sleek and futuristic interfaces. In this tutorial, I’ll show you how I built a Glassmorphic E-commerce Product Card — perfect for showcasing products with ratings, seller info, and a call-to-action button. 👉 Live Demo: View Project 👉 GitHub Repo: Source Code ✨ Final Preview Here’s what the finished card looks like: 🛠️ Tech Stack HTML5 → for clean structure CSS3 (Flexbox, Glassmorphism) → for the frosted glass effect Vercel → for free hosting and deployment 📂 Project Structure 📜 Step 1: HTML Structure The core markup for the product card: <div class="circle circle…  ( 7 min )

AI‑Assisted Code Review: Opportunities and Pitfalls An in‑depth guide for engineering leaders, architects, and developers who want to harness the power of large‑language‑model (LLM)‑based code‑review tools without falling into the common traps. Driver What it means for teams Scale of code – Modern services often exceed millions of lines of code (LoC). Human reviewers can’t keep up with every PR. Speed of delivery – Continuous‑delivery pipelines push changes many times a day. Review latency becomes a bottleneck. Security & compliance pressure – Regulations (PCI‑DSS, GDPR, ISO‑27001) demand early detection of vulnerabilities. Automated static analysis + LLM reasoning can surface hidden risks. Talent shortage – Senior engineers are scarce; junior hires need mentorship. AI…  ( 11 min )

🚀 নতুন একটা প্রজেক্ট হাতে আসলেই আসল খেলা শুরু! আইটি প্রজেক্ট ম্যানেজ করা মানে কিন্তু শুধু কোড আর ডিজাইন না—এটা পুরো একটা Journey। 🔹 Requirement নেওয়া থেকে শুরু করে প্রজেক্ট ম্যানেজমেন্ট আসলে একধরনের Team Game – যেখানে সঠিক সময়, সঠিক সিদ্ধান্ত আর টিমওয়ার্ক-ই সাফল্যের চাবিকাঠি। 💡 ১. Project Initiation (প্রজেক্ট শুরু) Client Requirement Collection: ক্লায়েন্টের সাথে মিটিং করে তাদের চাহিদা, উদ্দেশ্য, লক্ষ্য এবং বাজেট বোঝা। Feasibility Study: প্রযুক্তিগতভাবে এটা সম্ভব কি না, বাজেট/সময় অনুযায়ী করা যাবে কি না, সেটা যাচাই। Scope Definition: প্রজেক্টে কী কী থাকবে আর কী কী থাকবে না তা লিখিতভাবে নির্ধারণ। Project Charter তৈরি: প্রজেক্টের নাম, উদ্দেশ্য, টিম, বাজেট, টাইমলাইন – এগুলা ডকুমেন্ট করা। ২. Project Planning (প্রজেক্ট পরিকল্পনা) Work Breakdown Structure (WBS): পুরো প্রজেক্টকে ছোট ছোট টাস্…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data MarketTel is an elite market research assistant that transforms how businesses gather competitive intelligence. Instead of spending weeks on manual research or thousands on consulting agencies, users get comprehensive market insights in minutes through a simple Telegram conversation. Core Problem Solved Traditional market research is: ⏰ Time-consuming: 10+ hours per research request 💰 Expensive: $5,000-50,000 for professional research 📊 Outdated: Static reports that don't reflect real-time changes 🔍 Limited scope: Single-source information with bias MarketTel Solution ⚡ Instant Intelligence: Real-time data in under 5 minutes 🎯 Specialized Expertise: 6 core research areas (competitors, influencers, prod…  ( 8 min )

Cycle detection in a directed graph is a classic algorithm problem and must-know for backend and platform engineers. What is a cycle in a directed graph? The edges of a directed graph, which resemble arrows pointing from one node to another, have a specified direction. When you can begin at a node, follow the directed edges, and ultimately return to the same node without retracing any edges backward, you have a cycle. In simple terms: A cycle is a loop of dependencies. Why cycle detection is important? Cycles mean circular dependencies → no valid ordering is possible When you can continue following arrows and go back to the beginning point, you have a cycle in a directed graph. Tasks or dependencies cannot be arranged in a valid sequence because of this loop. Why DFS for Cycle Detecti…  ( 9 min )

GPUs are built for speed, handling thousands of tasks at once. But how do they organize all that work? This post dives into warps, a key concept in GPU performance, explained step-by-step from a beginner’s perspective. We’ll follow the journey of discovery, building from basic questions to practical insights, with examples to make it concrete. A warp is a small group of threads on a GPU that work together, running the same code at the same time on different pieces of data. Think of it like a team of workers on an assembly line, all doing the same task but on separate items. Typically, a warp has 32 threads, though this can vary by GPU. This grouping is crucial because GPUs are designed for parallel processing. By organizing threads into warps, the GPU can execute many tasks efficiently, ma…  ( 9 min )

What is Topological Sorting? Topological Sorting is a method to organize the vertices of a Directed Acyclic Graph (DAG) in a sequence where, for every directed edge u → v, vertex u precedes vertex v in the sequence. Topological sorting is the act of sequencing “items with prerequisites” Why only DAGs? 1) Why Directed? Dependencies always exhibit a specific direction: If A → B, it means “A must come before B.” in an undirected graph the relationship can be unclear. If A and B are connected, does A depend on B or B depend on A? There’s no way to tell. Therefore, directed edges are necessary to clearly indicate which task is dependent on which. 2)Why Acyclic? A cycle refers to a situation where tasks are mutually dependent on one another in a circular manner. For instance: Real-life exam…  ( 9 min )

If you're new to making games in 2025, you've got three amazing options to choose from: Unity, Unreal Engine, and Godot. Each one has its own personality and strengths, kind of like choosing between different art supplies… they'll all help you create, but each works better for different types of projects. The engine you pick will shape how you work, what devices your game can run on, how much it costs, and even what career opportunities open up for you. Let's explore what makes each one special so you can find your perfect match. Unity is like the friendly, helpful tool that can do almost anything. It's used by millions of people worldwide because it strikes a great balance… powerful enough for professional games, but approachable enough for beginners. You'll write code in C#, which many …  ( 11 min )

Hey there 👋 hope you're doing well And just like that... we've made it! This is Day 30 of my #30DaysOfCode journey, and honestly, I'm feeling a mix of relief and accomplishment. It's been a ride filled with code, chaos, and some serious self-discovery. Here's a quick rundown of what I've been up to as I wrapped up the challenge: Tech Issues Were Real: Today has been a complete mess. My new SIM card's internet just doesn't want to work properly. I've restarted my phone and checked everything, but no luck. It's so frustrating when you just want to code, and technology fights you every step of the way! Backend Fundamentals: Despite the chaos, I managed to get a lot done. I finally studied the main HTTP methods: GET, POST, PUT, PATCH, and DELETE. Understanding that each method has a specific job was a huge lightbulb moment for me. Discovering Express.js: I started learning Express.js, and now I get why everyone uses it. Building a server with just Node.js feels a bit low-level. Express.js is a fantastic framework that sits on top, making it much easier to manage routes and handle requests. It's a total game-changer. My "A-Ha!" Moments: This challenge was full of them. Figuring out how to connect the frontend and backend, understanding Node.js's non-blocking architecture, and now seeing how Express.js simplifies everything—each of these moments felt like a big win. Towards the end, I have to admit, I got a bit lazy and started procrastinating on posting. I'm really sorry for the gaps, and I'm super grateful to my three followers—and everyone else who was reading—for sticking with me. This isn't the end of the road, though. This 30-day challenge was just the warmup. To keep the momentum going and dive even deeper into my newfound love for backend, I'll keep posting about my learnings. Signing off 🌸 Akshita  ( 6 min )

TL;DR Why It’s Awesome usePrompt) for programmatic control Super-Easy Setup npm install prompt-my-client-react Option A: Use the Hook import { usePrompt } from 'prompt-my-client-react'; const { generatePrompt, isLoading, result } = usePrompt({ onSuccess: (response) => setText(response), }); await generatePrompt(text, "Make this more professional"); Option B: Use the Dropdown import { AIDropDown } from 'prompt-my-client-react'; setText(resp)} /> Use Cases Chat apps that paraphrase or translate E-commerce product description enhancers Internal tools: meeting note summarizers, style improvers, and more! Final Thoughts If you’re building in React and want AI-powered text features in a snap, check out prompt-my-client-react. Smart apps, no heavy lifting.  ( 6 min )

It's so easy as you think... In 5 steps: Step 1: Install PyCharm Professional First, make sure you have PyCharm Professional installed. This version has native support for Jupyter Notebooks. You can download it from the official JetBrains website. Step 2: Create a New Project with a Virtual Environment It's best practice to use a virtual environment to manage your project's dependencies. Open PyCharm and click "New Project". On the project creation screen, select the location for your project. Ensure that "New environment using Virtualenv" is selected. This will create an isolated environment for your project. Choose your desired Python version from the "Base interpreter" dropdown. Click "Create". (look at the notifications) Happy data coding!  ( 6 min )

python one relatable frfr also should i continue making them? thx  ( 5 min )

Got an MSI motherboard and ready to install Windows 11? Whether you just want the fast steps or a step-by-step walkthrough with BIOS details, this post has you covered. Create Bootable USB → Use Microsoft’s Media Creation Tool (8GB+ USB). Enter BIOS → Reboot → press Delete (or F2). Switch to Advanced (F7) if needed. Enable Requirements → In BIOS: enable UEFI mode, TPM 2.0, and Secure Boot. Boot from USB → Press F11 during startup → pick UEFI: [USB]. Install Windows 11 → Choose Custom Install, delete partitions on target disk, select Unallocated Space. Finish Setup → Follow prompts, restart, install MSI drivers, activate Windows. ⚠️ Reminder: Deleting partitions erases all data. Backup first! Check Requirements 64-bit CPU, 1GHz+, dual-core 4GB RAM minimum 64GB storage UEFI firmware, Secure…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Download the Workflow BrightData Company Deep Research Report with AI Agent, Google Search, Glassdoor and CrunchBase + Google Gemini This workflow is designed to perform deep company research by combining Bright Data scraping, Google Search enrichment, and AI-driven interpretation with Google Gemini. At its core, the workflow focuses on building a comprehensive Deep Research Report by integrating three critical data streams: CrunchBase → Funding, acquisitions, size, and market positioning. Glassdoor Company Info → Company overview, general facts, and employer branding signals. Glassdoor Company Reviews → Employee sentiment, leadership feedback, and culture insights. The extracted data is normalized, …  ( 10 min )

Check out this Pen I made!  ( 5 min )

Photo by Steve Johnson on Unsplash Most teams focus on dataset size and model tuning. But without feedback, even a well-built data annotation platform delivers inconsistent results. Annotation accuracy drops, edge cases slip through, and retraining cycles become expensive. A structured feedback loop (between annotators, model outputs, and engineers) fixes that. Whether you're using an image annotation platform, video annotation platform, or a broader AI data annotation platform, feedback makes the difference between usable and unusable data. Most annotation workflows are one-way: label the data, train the model, and move on. Feedback loops turn this into a cycle, helping both people and models learn faster and make fewer mistakes. A feedback loop connects three parts: Annotators label the …  ( 10 min )

Another day in the building journey, and today actually felt... productive? Wild concept, I know. Finally wrapped up my SQL learning phase. There's something satisfying about closing that particular chapter. Next up: OCaml exam prep because college still exists in this parallel universe where I'm apparently a student. But here's where it gets interesting, I'm planning to dive into Node.js next. Backend development has been calling my name, and honestly, there's something appealing about working with the server-side logic. No more fighting with CSS to center a div (though let's be real, I'll probably still have to do that). Working on our Smart India Hackathon presentation deck today. The presentation is on the 5th, and guess what? As team leader, it's entirely on me. Classic energy, everyt…  ( 7 min )

Most developers can recall a moment when they “broke” something—deleted the wrong file, misconfigured a server, or triggered an error they didn’t understand. While stressful in the moment, those mistakes often become the most lasting lessons. What if dev tools leaned into that idea instead of trying to prevent it? Why “Breaking” Works as a Teacher When something fails, it forces curiosity. Instead of passively reading documentation, developers are nudged into exploration: Cause and Effect: Seeing what breaks provides a direct line between actions and outcomes. Muscle Memory: Fixing errors engrains solutions deeper than just memorizing commands. Confidence Building: Once you’ve fixed it once, you know you can fix it again. Breaking isn’t failure—it’s feedback. Examples in Action Version Con…  ( 6 min )

When developers encounter a new tool, their first stop is usually the documentation. But let’s be honest—docs, no matter how well written, can be overwhelming. Pages of text, reference tables, and setup steps often become a wall that discourages exploration. What if instead of reading about a tool, developers could learn it by doing? That’s where interactive CLI tutorials step in. Why the CLI Is the Perfect Teaching Tool Most developers already live in the terminal—it’s where they build, test, and ship software. By bringing tutorials directly into the CLI, you meet developers where they are. Instead of switching contexts between docs and the command line, everything happens in one place. An interactive CLI tutorial can: Guide step by step: Present a task, validate the user’s input, and mov…  ( 7 min )

From Palm 🌴 Network to Futureverse 🌌 😎 As a lifelong 🦇 DC fan, the last four years have been nothing short of a rollercoaster. From the early days on the DC NFT Marketplace built on the Palm Network, to the big merger with Candy Digital, and now this exciting leap into the Futureverse powered by The Root Network — it’s been wild 🤪 And now, for the first time ever, I’m running a Validator Node on AWS to help support our DC collectibles migration and contribute to the Futureverse ✨ ecosystem. But before I dive 🤿 into my experience with validator setups, let’s back up for anyone new to The Root Network… The Root Network (TRN) is the backbone blockchain that powers the open metaverse — designed to connect games, content, and digital experiences in one interoperable ecosystem. Think of …  ( 9 min )

When we set out to create our first 3D product tour, we imagined a seamless, immersive experience that would let users explore every detail of our product as if it were in their hands. What we didn’t anticipate were the countless lessons—technical, creative, and even philosophical—that we’d learn along the way. Here are some key takeaways from the journey: Simplicity Beats Complexity Our initial prototype was overloaded with animations, hotspots, and interactive layers. While it looked impressive, users quickly felt overwhelmed. We learned that a clean, guided narrative matters more than flashy elements. Think purposeful interactions rather than everything all at once. Performance Is the Dealbreaker A stunning 3D experience means nothing if it lags. We underestimated the importance of opti…  ( 7 min )

Adam Savage hops into a Tested live stream to field fan questions—everything from the obscure news topics he wishes made headlines, to which passion franchises he thinks deserve more love, whether he’s snagged any LEGO Grogu sets and his go-to tips for scoring garage-sale gold. Shout-outs go to Thomas Esson, ThePstyron, the gr8 brandino and legojerry for firing off the best questions. Wanna chip in, snag some perks or pitch your own query? Join the channel, subscribe for bell-ringing updates and dive into Tested and Savage merch, socials, events and more for your dose of maker magic. Watch on YouTube  ( 6 min )

I once merged an AI-generated PR without reading a single line. CI was green, I shipped it… and staging exploded. Here’s why RTFC still matters in 2025. Confession time: I shipped code I never actually read. Copilot wrote the whole thing, CI went green, and I hit merge. An hour later, staging was dead in the water. The logs pointed to a function that didn’t even exist in the library. That’s when it hit me: the old “RTFC” rule isn’t dead it just comes back to bite you when you least expect it. Developers used to live by RTFC (Read The Fing Code*). If the docs sucked or APIs lied, you had no choice. Now? We trust frameworks, pipelines, and even AI copilots to catch mistakes. And honestly, 90% of the time they do… until they don’t. This article is about that shift. Why we stopped reading cod…  ( 12 min )

Two weeks ago I was building docs for a client project and needed some flowcharts. Simple, right? Wrong. Spent 3 hours fighting with existing Mermaid solutions. Configs breaking, themes not switching properly, SSR throwing fits. At one point I actually considered just drawing the diagrams in Figma and embedding images like some kind of barbarian. That's when it hit me - we've all been treating Mermaid like it's 2019. Import a library, fight with initialization, pray it works with your build system. But this is Svelte 5. We have runes now. Why are we still coding like peasants? So I built @friendofsvelte/mermaid - the way diagrams should work in 2025. import { Mermaid } from '@friendofsvelte/mermaid'; const architecture = `graph TD A[Old way: Fight configs] --> B[Waste 3 h…  ( 7 min )

For years, technical documentation has been the cornerstone of developer onboarding. But let’s be honest—reading through pages of static docs is often tedious. What developers really want is to learn by doing. That’s where AI is stepping in to revolutionize the way documentation transforms into interactive learning experiences. From Static Docs to Smart Tutorials Traditionally, teams write docs, and then—if resources allow—build separate tutorials or sample projects. The problem? Tutorials often fall out of sync with the docs, leaving developers confused. By applying natural language processing (NLP) and large language models (LLMs), AI can now parse existing docs, extract key workflows, and auto-generate step-by-step tutorials. Imagine feeding your API reference into an AI system. Within …  ( 6 min )

🔥 DOM is Dead? How React's New Compiler Will Change Everything (And What You Should Do Now) When React first launched, it revolutionized the way we built interactive UIs. Since then, we’ve seen hooks, Concurrent Mode, Suspense, and server components. But now, React is evolving again, and this time it’s not just an upgrade. It’s a paradigm shift. What if I told you that the React you know—the one with the Virtual DOM and useEffect spaghetti—is going away? Welcome to the next era: The React Compiler. ⚠️ This is not a drill. The React Compiler promises to eliminate the Virtual DOM bottleneck, optimize your components intelligently, and even replace useEffect with something better. In this post, we’ll explore what this new React Compiler is, how it works, what problems it solves, and how it…  ( 10 min )

1. Introduction In modern web applications, not all tasks should run during the main user request. Some processes—like sending emails, generating reports, cleaning up logs, or syncing data—can take seconds or even minutes to complete. Running these tasks inline would slow down the application and create a poor user experience. This is where background jobs come into play. A background job is any task that runs outside of the main request/response cycle. Instead of making users wait for time-consuming operations, the application delegates these tasks to run in the background. This improves performance, keeps the application responsive, and allows developers to handle recurring or long-running work reliably. For example: Sending a confirmation email after user registration. Generating invo…  ( 11 min )

Recently, I had my very first experience working on a project that runs completely offline on an intranet. Since I had to figure out a lot of things from scratch, I decided to write down the issues I ran into — hopefully this saves someone else a few hours of frustration! Because of intranet security requirements, the project runs on a virtual machine that cannot access the Internet. This means we need to have all dependencies pre-downloaded and available locally. While configuring pom.xml, IntelliJ IDEA kept throwing a strange error: Cannot access maven-default-http-blocker (http://0.0.0.0/) in offline mode At first, I tried enabling Maven's offline mode, as most blog posts suggested — but that didn’t help at all. After some digging, I realized it was actually a Maven version issue. The v…  ( 7 min )

When we talk about Human–Computer Interaction (HCI), a lot of folks imagine academic theory. But as developers, we practice HCI every single time we design a UI, build a feature, or debug why users keep dropping off after clicking that one button. Bad UX = Bad Code Performance is Usability Accessibility Is Not Optional Core HCI Principles (for Developers) Feedback Loops {loading ? "Saving..." : "Save"} Consistency Progressive Disclosure Accessibility ❌ Example: A Task List Done Right Bad HCI: Click “delete” → nothing happens, item disappears instantly. Good HCI: Click “delete” → item fades out, snackbar pops up with “Undo.” That’s empathy coded into UI. Here’s a React snippet: function Task({ text, onDelete }) { const handleDelete = () => { return ( {text} HCI is not some academic course—it’s in our PRs, components, and error messages. When we code with empathy, our users don’t just use our apps—they actually enjoy them.  ( 6 min )

Pendant des années, les projets Angular ont utilisé Karma et Jasmine comme solution de test par défaut. C’est encore le cas aujourd’hui pour de nombreux projets, même si beaucoup de développeurs trouvent l’expérience lente et peu agréable. Certains ont adopté Jest comme alternative, mais son support officiel reste limité et pas totalement abouti. Avec Angular 20, on entre dans une nouvelle étape : Karma peut désormais être remplacé nativement par un runner complet. Et ce runner, c’est Vitest, un framework moderne basé sur Vite, qui apporte rapidité, simplicité et une meilleure expérience développeur. Personnellement, j’ai été bluffé par la vitesse d’exécution et la facilité de configuration : on a enfin un outil qui rend les tests unitaires aussi fluides que le développement. ⚡️ Exécution …  ( 8 min )

Are you still using dd() in production or ignoring custom exceptions? 😱 Discover the Laravel 12 error handling mistakes and learn how to fix them with best practices, real code examples, and pro tips. Master debugging, logging, and exception handling in Laravel 12 today! 👨‍💻💡 Read the full article here👉  ( 6 min )

Trading Guide Crypto • Forex • Saham Versi 1.0 — Disusun untuk pemula yang pengen mulai trading dengan aman, terarah, dan waras. Buku ini bersifat edukasi, bukan nasihat keuangan atau ajakan membeli/menjual aset tertentu. Selalu riset mandiri, gunakan uang dingin, dan pahami risikonya. Kenalan Dulu: Apa Itu Trading? Mindset Wajib: Main Jangka Panjang, Bukan Cari Cepat Kaya Alat Perang: Akun, Platform, dan Keamanan Dasar Analisis Teknikal: Chart, Candlestick, dan Indikator Manajemen Risiko & Uang: Nyawa Trader Crypto 101: Ciri Khas, Risiko, dan Strategi Pemula Forex 101: Cara Kerja, Jam Pasar, dan Strategi Pemula Saham 101: Mekanisme Pasar, Dividen, dan Strategi Pemula Roadmap 30 Hari: Dari Nol ke Mulai Konsisten Psikologi Trading: Disiplin, Emosi, dan Rutinitas Kesalahan Umum Pemula & Ca…  ( 11 min )

Hello, Dev.to community! In this article, we’ll look at how effective AI really is in coding, based on the latest METR experiment, the 2025 StackOverflow survey, and my own experience. We’ll also talk about the new trend of vibe coding and how it's changing the development process. Nowadays, it’s impossible to ignore the influence of AI on software development. Instead of searching for information on Google, you can now simply ask ChatGPT, and what’s even cooler, you can make your request more specific and get more detailed information, instead of wasting time endlessly searching across the internet hoping to piece together the information like a puzzle. Honestly, I can’t even remember the last time I visited StackOverflow, while back in 2018 I used to have 10-15 active tabs open to find t…  ( 10 min )

Hi! The abyss has been quite intense these weeks, but we're back with a new entry. I remember when I was working in the database design of my first position a year and a half ago. The amount of things I was blundering: bad practices, poor naming conventions... I guess that's how we all start and learn at the beginning. I've been working on database design at a startup, and this time, it feels like the system is no longer against me. It's all about best practices, scalability, and clear conventions. But this didn't happen suddenly; it took countless mistakes, hours, and pain. I've gone through the process of learning the best practices on my own and ensuring my schemas can actually scale, so you don't have to go through the same painful process. Here are the 10 database design lessons I lea…  ( 12 min )

I'm thrilled to share my latest open-source project that bridges the gap between REST APIs and Large Language Models! Swagger MCP Adapter is a TypeScript-based MCP (Model Context Protocol) server that seamlessly integrates Swagger/OpenAPI specifications with LLMs like Claude, enabling them to interact with your APIs through standardized tools. 🔹 4 Powerful MCP Tools: list_services - Clean markdown-formatted API service listing get_service_information - Detailed info for specific endpoints get_all_service_information - Comprehensive API documentation get_cache_information - Cache monitoring & performance metrics 🔹 Production-Ready: Intelligent caching system with TTL-based expiration Optimized ESM builds for production deployment Full Claude Desktop integration Comprehensive error handling & logging 🔹 Developer Experience: Hot reloading during development TypeScript-first with full type safety Comprehensive test suite (6/6 tests passing) Clean, maintainable architecture This tool transforms how developers and LLMs interact with APIs: For Developers: Instant API exploration and documentation For LLMs: Structured, validated API interactions For Teams: Faster API integration and testing TypeScript, Node.js, MCP SDK, Swagger Parser, Zod, Pino, tsup, Vitest API documentation teams LLM application developers DevOps engineers Backend developers AI/ML engineers GitHub: https://github.com/serifcolakel/swagger-mcp-adapter Demo: Try with Claude Desktop, GitHub Copilot or any LLM! Demo Video on YouTube: https://www.youtube.com/watch?v=Alo34U5axbI Docs: Comprehensive README with setup guide What do you think? Have you worked with MCP servers or API integration tools? I'd love to hear your thoughts! 💬  ( 6 min )

I've been writing for a while now on setting up Kubernetes specifically with AWS' EKS. I love how EKS gives me the flexibility to install the standard and custom Kubernetes resources that I need and want for my projects. In this article, I want to explore setting up Linkerd, a service mesh for Kubernetes, on EKS. Linkerd is a popular service mesh that provides a set of features such as service discovery, load balancing, and traffic management. By using Linkerd, we can easily manage and monitor our Kubernetes applications and ensure that they are running smoothly. I did some light comparisons a while back between Istio and Linkerd in this article. But let's dive in a little bit deeper and setup Linkerd on EKS! Before I dig into the article, everything that's in here is stored in this G…  ( 9 min )

Dev in the Making: My Current Struggle Smash. Delete. Repeat. 😅 Lately, I’ve been banging my keyboard in frustration because I keep making the same mistakes over and over. The same error messages keep popping up, and I feel like I can’t even resize an image properly—paste code, save, run in terminal… and it still asks me to locate folders again and again! Some of the things I’m struggling with: It’s overwhelming, confusing, and yes… super frustrating. But I’m still learning step by step. Every error, every wrong click, it’s all part of the journey. 💡 If you’ve got tips on managing files efficiently or resizing images without terminal chaos, I’d love to hear them!  ( 6 min )

I created a new programming language called Pitone that's based on python and has a sintax very very similar to italian. I made it compatible with every distro linux, Windows, MacOS and even in your browser! I also made a Discord server to grow the community and maybe reach the giants of tech. All the links to try pitone are in it's github repository. Fun fact: I'm 13 years old  ( 5 min )

When building Angular micro frontends (MFEs), one of the biggest challenges is managing third-party libraries. Frameworks like @angular/core, UI kits like @angular/material, state management tools like @ngrx/store, and utility libraries like lodash often end up repeated across multiple MFEs. Without proper sharing, each app bundles its own copy, leading to heavier builds and more complex dependency management. Nx with Webpack Module Federation gives us an elegant solution: shared singleton libraries. Imagine three MFEs: Dashboard, Reports, and Admin. @angular/core @ngrx/store lodash If every app bundles its own versions, you risk: Duplicate dependencies inflating bundle size Version conflicts if apps don’t align Debugging headaches from mismatched library behavior Nx allows you to configur…  ( 6 min )

Can One Clever Hack Save A $1000 Coffee Machine? follows maker Laura Kampf as she rescues her dream espresso rig from a junkyard and attempts a DIY trick to make it run like new—using Festool power tools and Lincoln Electric gear along the way. Alongside the build, Laura shares a 10% off Squarespace link (LAURAKAMPF), invites you to browse her shop, support her on Patreon, and connect on Instagram, Facebook, or her website for more creative projects. Watch on YouTube  ( 5 min )

Introduction Booting a Raspberry Pi from a USB drive instead of a microSD card is one of the most useful upgrades you can make. Not only does it improve speed and reliability, but it also gives you more flexibility with storage options. In this post, we’ll walk through everything you need to know about Raspberry Pi USB boot — from enabling it, preparing the drive, to troubleshooting common issues. Most Raspberry Pi boards traditionally boot from a microSD card, but these cards are prone to corruption under heavy use. USB boot offers several advantages: Faster read/write performance Better durability compared to SD cards Flexibility to use SSDs, HDDs, or large USB sticks Easier backup and cloning Raspberry Pi 4 → USB boot supported natively (after firmware updates) Raspberry Pi 3B / 3B+ …  ( 6 min )

We are pleased to announce the release of marchat v0.5.0-beta.2. Extended Message Limit: Messages can now be up to 2000 characters, allowing for longer, uninterrupted conversations. Improved Help System: Press Ctrl+H to access a dedicated help screen with all keyboard shortcuts documented. Plugin Enhancements: Plugin checksum validation is fixed, and the registry now automatically selects the correct binary for your platform. Cross-Platform Installation: A single install script is available for Linux, macOS, Windows, and Android/Termux, with configuration files stored in OS-appropriate directories. This release also includes various technical improvements and backward compatibility fixes for encryption and keystore handling. GitHub: https://github.com/Cod-e-Codes/marchat Latest Release: https://github.com/Cod-e-Codes/marchat/releases/latest Docker Hub: https://hub.docker.com/r/codecodesxyz/marchat Pull Latest Docker Image: docker pull codecodesxyz/marchat:latest  ( 6 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data AI-driven automation that transforms any public Reddit thread into a concise, actionable insight eliminating hours of manual reading and ensuring teams never miss key points hidden in long discussions. What Problem It Solves https://youtu.be/4TgBGNGRn5o https://gist.github.com/kris70lesgo/c03f64c8b5decb7f7f6da49aeff5e529 n8n Chat Trigger: Captures user input (thread URL) via Telegram or web. Bright Data Verified Node (Web Scraper): Batches all thread URLs into a configured “Web Scraper” recipe, handles proxy rotation, fingerprinting, and CAPTCHAs, then monitors and downloads the snapshot content. n8n SplitInBatches & IF Nodes: Controls polling loop for snapshot readiness. n8n Code & Aggregate Nodes: Reshapes the JSON output into a single text payload. n8n AI Agent Node: Sends the combined comment text to GPT-3.5-turbo and retrieves the summary. n8n Notion Node: Appends the final summary to a shared Notion database. The Bright Data node powers all scraping and unblocking: Building ThreadLens taught us to handle asynchronous batch APIs and transform their outputs for AI consumption. Challenge: Managing the polling loop solved by combining IF, Wait, and SplitInBatches nodes to avoid infinite hangs. Lesson: Aggregating arrays into a single prompt payload reduces repeated API calls and keeps costs down. Outcome: A robust, end-to-end agent that any team member can trigger via chat, delivering vetted insights in under five minutes.  ( 6 min )

This is the English translation of my original Japanese article: https://zenn.dev/arvehisa/articles/use-remote-mcp-on-claude-mobile Many users have been using Claude Desktop to access MCP functionality. Starting July 26, 2025, Claude mobile apps now support remote MCP servers as well. https://x.com/AnthropicAI/status/1948784311265894447 However, the setup process isn't immediately obvious, so I'm writing this article to help others who might be confused about the configuration. In short, there's no way to configure remote MCP directly from the mobile app. Go to Settings => Connectors => Add Custom Connector Once configured, it will be reflected in the mobile app. For those familiar with Claude Desktop's direct configuration, I understand the impulse to try configuring directly from the mobile app, but the inability to do so is indeed a gotcha. This is mentioned in the official documentation, though it's not very prominently displayed: https://support.anthropic.com/en/articles/11503834-building-custom-connectors-via-remote-mcp-servers As of July, Claude for iOS and Android also support remote MCP servers! Claude Desktop supports both local and remote MCP. However, mobile apps cannot run local scripts, so only remote MCP is available. As a side note, I recently created a local Memory MCP to help Claude remember things about me: https://zenn.dev/zhizhiarv/articles/local-memory-mcp-for-claude-desktop When I saw this new functionality, I immediately migrated my MCP to remote using Lambda Function URL + DynamoDB, so now Claude on mobile can remember things about me too. Very exciting! Update: I also wrote an article about this migration. https://zenn.dev/zhizhiarv/articles/host-remote-mcp-on-lambda  ( 6 min )

While sharing a course certificate recently, I noticed something: most platforms (like LinkedIn) accept only images, but learning platforms often give certificates as PDFs. When I searched for PDF → Image converters, almost every tool uploaded the file to some cloud server first before giving me the result. That made me wonder: what if I don’t want to upload my personal files anywhere? So I built a simple PDF to Image Converter that runs entirely in the browser. 🚀 100% offline 🔒 No uploads, no data leaks 🖼️ Convert PDF to PNG or JPEG instantly 🌐 Free & open-source You can try it here: https://pdf-to-image.probir.dev/ The project uses React + Vite + PDF.js, with all the conversion logic happening client-side via canvas. It’s a small but practical example of how powerful browser-based tools can be when we combine open web APIs with libraries like PDF.js. Would love your feedback! 🙌  ( 6 min )

🎯 The Problem As developers, we spend hours crafting Pull Requests: writing descriptions, explaining why the change matters, and documenting code. But once the PR is merged… it often disappears into the void. That effort rarely lives beyond GitHub. I’ve always felt this was a wasted opportunity. Every PR — especially in open source — tells a story: the problem, the reasoning, the solution. Why not turn that into something more lasting, like a blog post? That’s why I’ve been working on devtopost, a small side project that automatically turns your GitHub PRs into polished blog posts. Paste a PR link The tool analyzes the title, description, commits, and diff It generates a professional, markdown-ready article (introduction → problem → solution → impact → conclusion) So instead of staring at a blank page, you already have a structured draft you can publish on your blog, dev.to, or LinkedIn. Under the hood: GitHub API to fetch PR metadata & diff AI (LLM) to generate structured technical writing Opinionated prompts to enforce professional tone, Markdown formatting, and code snippet rules The current MVP just lets you try it out with 1 free PR → blog conversion. Later I’m thinking of offering subscriptions for people who publish frequently. I don’t want this to be an “ad”. I’m genuinely curious: Would you use something like this? Do you see this as useful for open source maintainers who want to highlight their contributions? Or for engineers building a portfolio without rewriting the same stories? I’d love feedback from this community — whether it’s “I’d never use it” or “here’s what could make it better”. If you’re curious, you can try the MVP here: 👉 https://devtopost.ai Thanks for reading! Building this has been fun, but I want to make sure it actually solves a real pain point for devs. Any feedback, feature requests, or even brutal honesty is welcome ✌️  ( 6 min )

🎯 The Problem As developers, we spend hours crafting Pull Requests: writing descriptions, explaining why the change matters, and documenting code. But once the PR is merged… it often disappears into the void. That effort rarely lives beyond GitHub. I’ve always felt this was a wasted opportunity. Every PR — especially in open source — tells a story: the problem, the reasoning, the solution. Why not turn that into something more lasting, like a blog post? That’s why I’ve been working on devtopost, a small side project that automatically turns your GitHub PRs into polished blog posts. Paste a PR link The tool analyzes the title, description, commits, and diff It generates a professional, markdown-ready article (introduction → problem → solution → impact → conclusion) So instead of staring at a blank page, you already have a structured draft you can publish on your blog, dev.to, or LinkedIn. Under the hood: GitHub API to fetch PR metadata & diff AI (LLM) to generate structured technical writing Opinionated prompts to enforce professional tone, Markdown formatting, and code snippet rules The current MVP just lets you try it out with 1 free PR → blog conversion. Later I’m thinking of offering subscriptions for people who publish frequently. I don’t want this to be an “ad”. I’m genuinely curious: Would you use something like this? Do you see this as useful for open source maintainers who want to highlight their contributions? Or for engineers building a portfolio without rewriting the same stories? I’d love feedback from this community — whether it’s “I’d never use it” or “here’s what could make it better”. If you’re curious, you can try the MVP here: 👉 https://devtopost.ai Thanks for reading! Building this has been fun, but I want to make sure it actually solves a real pain point for devs. Any feedback, feature requests, or even brutal honesty is welcome ✌️  ( 6 min )

ZK gets all the hype. FHE gets the sci-fi points. But when it comes to actually usable privacy tools in Web3 right now, TEEs (Trusted Execution Environments) are doing more heavy lifting than people realize. Came across this well-written breakdown that maps out the current state of TEEs in Web3 what’s working, what’s evolving, and where it’s headed: https://oasis.net/blog/tees-web3-summary Key takeaways: TEEs aren’t some future fantasy they’re already enabling confidential voting, private DeFi, and offchain logic you can verify on-chain. What stood out to me is how balanced the take is no silver bullet claims, just a clear-eyed view of TEEs as the “usable now” privacy layer while longer-term tech matures. If you’re building anything in the confidential space agents, trading bots, DAO infra this is a space worth tracking. Has anyone here played around with Sapphire or TEEs in general? Curious to hear real-world builder thoughts.  ( 6 min )

This is the English translation of my original Japanese article: https://zenn.dev/arvehisa/articles/host-remote-mcp-on-lambda Previously, I wrote an article about creating a Local Memory MCP to give Claude memory capabilities. Shortly after, Claude Mobile added support for Remote MCP, and I wanted to give memory capabilities to Claude on mobile devices as well. This motivated me to implement a remote version of my Local MCP Server using AWS Lambda. My use case involves Claude accessing my Memory MCP to retrieve or create memories about me during conversations. This happens at most a few dozen times per day, so there's no need for a constantly running server. This perfectly matches Lambda's event-driven architecture. AWS Lambda's free tier includes: 1 million requests per month free 400,000…  ( 9 min )

I've wrote lots about how to make a patch on that, and now, still not an npm module, but at least we have a repo: https://github.com/webentlib/router [...path] folder and proxy everything through it via some urls.ts. So, this allows to define routes like that: urls.ts: import type { Pattern, Layout, Error } from '/router/types'; // or from '/' in case you use root index.ts export const error: Error = () => import('/src/error.svelte'); const layout: Layout = { page: () => import('/src/base.svelte'), error }; const layouts: Layout[] = [layout]; // for nested layouts — [layout, sublayout, ...] export const patterns: Pattern[] = [ {re: '', page: () => import('/src/home.svelte'), layouts}, {re: 'articles', page: () => import('/src/article…  ( 7 min )

What is the output of this code and why 🤔? def make_counters(): counters = [] for i in range(3): def counter(): return i counters.append(counter) return counters a, b, c = make_counters() print(a(), b(), c()) Outputs: a. 0 1 2 b. 2 2 2 c. 0 0 0 d. 1 1 1 e. Raises an error This short snippet looks simple, but it probes a set of Python behaviors that commonly trip up learners and even experienced developers when writing higher-order functions or factories. The quiz focuses on three tightly related concepts: A closure is a function that remembers the environment in which it was defined. When you create a function inside another function, that inner function can reference variables from the outer scope. But how those variables are referenced …  ( 7 min )

AWS Solutions Architect Associate Cheat Sheet About This Cheat Sheet This cheat sheet was prepared based on: Udemy Practice tests by Jon Bonso, Neal Davis, Stephane Maarek AWS Documentation AWS FAQ AWS Whitepapers Note: This sheet is for last-minute or quick reference only. These were my notes for a final day glance before the actual SAA exam. All credits to excellent SAA-C03 course and practice tests by: Adrian Cantrill Chad Smith Jon Bonso Neal Davis Ranga Karnam Stephane Maarek You can enroll in any ONE of the courses listed below + Practice Exams to gain knowledge and clear the certification. AWS Certified Solutions Architect Associate SAA-C02 O'Reilly Learning (search by "author: Chad Smith") Tutorials Dojo Practice Exams Udemy SAA-C03 Practice Exams Udemy Hands-on Course…  ( 25 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data and my first n8n workflow. Searching for deals manually can be time-consuming and frustrating. Most of the time, this costs us as we often miss out on the best prices and limited-time offers. This AI agent solves this problem by automating the deal-hunting process and providing a single, intelligent interface for finding the best discounts. How It Works Agent link: http://localhost:5678/workflow/2hIkozBxX4QEcxyZ Demo Video: https://youtu.be/TGljGiiHpRo https://gist.github.com/Bennykillua/107287dc7a31dda58c6b5a7c0bf6ab88 Our trigger is a chat. The agent is configured as a highly enthusiastic “Deal Hunter” AI. Its system prompt ensures it only responds when the user requests a deal, maintaining an energetic and…  ( 7 min )

I've always found that one of the best ways to truly understand a concept is to build it from scratch. That's why I wrote this guide. I wanted to break down the autocomplete—a component we use every day—into its fundamental parts. My hope is that by building it together, you'll not only gain a powerful new tool for your projects but also a deeper appreciation for the details that create a great user experience. Let's dive in! Autocomplete is a feature that users have come to expect. It makes interfaces faster, smarter, and more user-friendly. While it might seem complex, building a professional-grade autocomplete component from scratch is an excellent way to sharpen your vanilla JavaScript skills. In this tutorial, we'll build a fully-featured, accessible, and performant autocomplete compo…  ( 8 min )

🔥 New in FSCSS: Conditional @event + Debug exec() Now you can add logic in CSS & debug values live! @event scaleSize(e) { if e >= 8 { return: num(8*2)em exec(_log, ">=8: Scaling to 16em for optimal readability"); /* Caps at 16em for larger inputs */ } el-if e =, , ). Check the console after page load or event fire. Compile the example here CSS is evolving, and with FSCSS, you're not just styling—you're engineering. Got questions, bugs, or cool use cases? Hit up the DEV Community thread or X—let's iterate together! 🔧💻  ( 6 min )

Resumo: neste passo a passo eu mostro como mapear o botão Copilot do notebook para abrir o WebApp do ChatGPT criado no Mint (Cinnamon). Também cubro o clássico problema de “abrir como outro Chrome” e como garantir que o app inicie maximizado. Quando você cria um Aplicativo Web no Linux Mint (menu Aplicativos Web), o sistema gera um arquivo .desktop para esse app, com parâmetros próprios (perfil isolado, ícone, classe da janela etc.). Se você usar um atalho de teclado chamando diretamente google-chrome --app=..., o Mint entende como um Chrome genérico, e ele aparece separado na barra de tarefas — não como o seu WebApp “ChatGPT”. A solução é: lançar o .desktop do WebApp — não o binário do navegador. Abra Aplicativos Web (Web Apps). Preencha, por exemplo: Nome: ChatGPT Endereço: https://cha…  ( 7 min )

This guide demonstrates how to integrate @solana/kit with React applications using Wallet Standard. While there are many resources for @solana/web3.js, comprehensive guides for @solana/kit are limited. Prerequisites: Familiarity with Solana development. If you're new to SolanaKit, review the official documentation first. you can find the full react app code here We'll build a React application that: Connects to Solana wallets using Wallet Standard Manages wallet state through React Context Signs and sends transactions using @solana/kit Install the required dependencies in your existing React application: npm install @solana/kit @wallet-standard/react @solana/react Create a React context to share wallet state across your application. This approach uses types from @wallet-standard/react to …  ( 9 min )

This is the English translation of my original Japanese article: https://zenn.dev/arvehisa/articles/anthropic-claude-1m-context-window-on-bedrock On August 13, 2025, Claude Sonnet 4 added support for a 1M token context window. This feature is also available on Amazon Bedrock. Reference links: https://www.anthropic.com/news/1m-context https://aws.amazon.com/jp/about-aws/whats-new/2025/08/anthropic-claude-sonnet-bedrock-expanded-context-window/ https://docs.anthropic.com/en/api/claude-on-amazon-bedrock#1m-token-context-window https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages-request-response.html This feature is currently available only in US Oregon, Virginia, and Ohio regions on Amazon Bedrock. Be aware that using the 1M Context Window increases…  ( 8 min )

Check out this Pen I made!  ( 5 min )

Onto Debug is a neovim plugin designed to help debugging, testing (so debugging really) but not act as a full debugger protocol or a testing framework. It's whole design point is also to run only on demand. Github - https://github.com/Okerew/od.nvim  ( 5 min )

“Never trust, always verify.” This phrase sums up the core of Zero Trust Architecture (ZTA), a modern security model designed for today’s borderless, cloud-driven world. As cyberattacks become more sophisticated and organizations move beyond traditional perimeters, the need for a security approach that assumes no user or device can be trusted by default has never been greater. What is Zero Trust? It requires every user and device—whether inside or outside the organization—to be authenticated, authorized, and continuously validated before they can access applications or data. Zero Trust assumes there is no traditional network edge. Whether resources are on-premises, in the cloud, or across hybrid environments, the same strict security policies apply everywhere. Why Zero Trust? Zero Trust…  ( 7 min )

背景 @smellman が https://dev.smellman.org/static/overture-2025-08-20 で Overture Maps ベースの 6 つの PMTiles ファイルをホストしています。 x-24b で上記を遠隔の PMTiles ファイルとしてホストしてみました。tile.json アクセスポイントは次の通りとなります。 https://tunnel.optgeo.org/martin/addresses https://tunnel.optgeo.org/martin/base https://tunnel.optgeo.org/martin/buildings https://tunnel.optgeo.org/martin/divisions https://tunnel.optgeo.org/martin/places https://tunnel.optgeo.org/martin/transportation 上記のアクセスポイントをうまく使ってウェブ地図を作るのを Copilot にでもやらせてみたいと思っています。  ( 5 min )

I just made a new release to a plugin I've developed to run hurl files (https://hurl.dev/) https://github.com/ethancarlsson/nvim-hurl.nvim/releases/tag/v1.2.0). In this case I added additional functionality to work with temporary variables. {{host}} and {{auth_token}}. Copy and pasting They can however be used to solve a problem though. When your working on http APIs POST {{url}}/orders { "items": [ { "id": "ce039087-835a-4484-89dc-70c2ea123b40" } ] } In order to create this order I need to first retrieve the ID of the item and copy So it would be convenient if I could have this: POST {{url}}/orders { "items": [ { "id": "{{id}}" } ] } That way I don't need to worry about having to edit the file, I just update the My trick was to build on my existing …  ( 8 min )

Merhaba bu makalede kubernetes üzerinde yaygın olarak kullanılan prometheus stack ve nginx ingress controller üzerinde monitoring işleminin nasıl yapılacağını göreceğiz. Öncelikle aşağıdaki komutla prometheus-stack kurulumunu gerçekleştirelim.  ( 5 min )

For the past year, we’ve all been talking about vibe coding—the playful idea that you describe what you want, and AI fills in the boilerplate. But the conversation has already shifted. A new wave is here: Agentic AI. Instead of passively suggesting code snippets, these systems plan, act, and complete multi-step tasks autonomously—sometimes faster than we can review them. So, what does this mean for developers like us? Let’s break it down. What Is Agentic AI—and Why Does It Matter? Most AI coding assistants today are reactive. You type, they autocomplete. You ask, they explain. Agentic AI flips the model: It sets goals, Executes plans across multiple steps, And integrates with your tooling to complete workflows end-to-end. Think of it less like “AI pair programming” and more like having a j…  ( 7 min )

Welcome to the Algorithm Series: Graph Algorithms When we think of algorithms, sorting and searching often come to mind first because most of the time we feel they are considered the building blocks of computer science. But beyond these foundations lies a more powerful concept: graphs. Graphs aren’t just abstract data structures; they mirror the way our world is connected. Cities and roads, friends on social media, airline routes, even the pathways in our brains — all of these can be represented as graphs. In this article, we’ll explore how JavaScript can be used to bring graph algorithms to life. From understanding nodes and edges to traversals like BFS and DFS, and finally to real-world applications such as pathfinding and network optimization, you’ll see how graphs unlock solutions to…  ( 11 min )

Table of Contents Introduction: The Dawn of the Agent Era Why SaaS Thrived—and Why It’s Vulnerable The Rise of AI Agents: Redefining Software Interaction Industry Leaders Sound the Alarm Agentic AI’s Impact on SaaS: Disruption or Evolution? The Technical Shift: From CRUD to Autonomous Execution Maxim AI: Future-Proofing Agentic Workflows Challenges in the Agent Era: Data, Security, and Trust How SaaS Providers Are Responding Building AI-Ready Infrastructure: Steps for Developers Case Studies: Maxim AI in Action The Road Ahead: Adaptation and Opportunity Conclusion: Embracing the Agentic Future The software industry stands on the brink of radical transformation. For years, Software as a Service (SaaS) has dominated, offering scalable, cloud-based solutions that have reshaped business ope…  ( 9 min )

Problems Solved: #83 Remove Duplicates from Sorted List #202 Happy Number This continues my daily series (Day 15: Linked List + Hashing patterns). Hitting a 15‑day streak 🏆 feels especially rewarding — these milestone days (5/10/15) keep me pushing forward and highlight consistency over half a month of practice. Today’s focus was on linked list traversal and cycle detection via hashing: For Remove Duplicates from Sorted List, I practiced in‑place modification of a sorted linked list. The trick is to compare the current node with its next, and if equal, bypass the duplicate by rewiring the pointer. This way, we only walk the list once. For Happy Number, I reinforced the idea of detecting cycles in number transformations. Using a hash set (seen) to remember previously visited numbers ens…  ( 8 min )

Introduction Hello, I'm Taisei! I work as a sofftware engineer in Japan.🇯🇵 There are two main reasons why I started writing on Dev.to: I want to improve my technical skills in English. I want to build a career overseas. I faced a problem in Angular Material that I couldn't solve. At that moment, I felt strongly：”This is an unknown world.” I have never been abroad and I don't have foreign friends. I don't want to rely only on translation tools. I started my career by coding websites and have been working as a frontend engineer for about 4 years. Currently, I'm involved in the development and operation of a membership-based online service for a major manufacturer. The main technologies I use are: TypeScript Angular Python Conclusion My English writing is still rough. But I believe constant challenges will make me stronger. I'd love to connect with people who also aim for growth. Let's learn and improve together!  ( 6 min )

Retrieval-Augmented Generation (RAG) pipelines have rapidly become foundational in building advanced AI applications. By combining large language models (LLMs) with external knowledge bases, RAG systems enable more accurate, up-to-date, and contextually relevant responses. However, as these systems move from prototype to production, ensuring their reliability becomes a mission-critical challenge for developers and organizations alike. In this comprehensive guide, we’ll explore the technical foundations of RAG pipelines, the primary reliability challenges developers face, and best practices for building robust, production-ready systems. We’ll also delve into how Maxim AI’s resources, tools, and research can help you architect and maintain reliable RAG pipelines at scale. Retrieval-Augmented…  ( 10 min )

Comparing k-NN with Logistic Regression: Key Differences Explained When it comes to machine learning classification algorithms, two of the most commonly compared models are k-Nearest Neighbors (k-NN) and Logistic Regression. Both are used to solve classification problems, but they differ in terms of working principles, assumptions, complexity, and practical applications. If you’re wondering when to use k-NN vs Logistic Regression, this article breaks it down for you. What is k-Nearest Neighbors (k-NN)? Type: Non-parametric, instance-based learning. How it works: Classifies a new data point based on the majority class of its closest k neighbors. Key feature: Simple and effective for small datasets with clear boundaries. Example: In image recognition, if most nearby pixels belong to “cat,” t…  ( 6 min )

As AI agents become increasingly central to enterprise workflows, the need for robust simulation and observability tools has never been greater. Ensuring agents operate reliably across diverse scenarios, deliver high-quality outcomes, and remain adaptable in production environments requires both comprehensive simulation capabilities and granular observability. Here, we explore five leading tools that empower teams to rigorously test, monitor, and optimize AI agents at scale. Overview: Maxim AI stands out as a comprehensive platform for end-to-end simulation, evaluation, and observability of AI agents. Designed for rapid iteration and enterprise-grade reliability, Maxim enables teams to prototype, test, and monitor agentic workflows with unparalleled speed and depth. Key Features: Agent Si…  ( 8 min )

This technology has moved past the experimental stage and is now a robust tool for producing professional-grade visuals. For developers, designers, and creators, understanding its core mechanics is key to leveraging its power. The biggest limitation of previous-generation models was their one-and-done nature. You sent a request and got a response, with little room for intuitive iteration. Gemini 2.5 Flash Image replaces this with a fluid, conversational process. Its natively multimodal architecture allows it to understand a mix of text, reference images, and stylistic notes, creating a near-human level of context. This leap forward introduces several key features that solve major pain points in AI-driven design. 1. Solving the Consistency Problem Anyone who has tried to create a character …  ( 8 min )

Implementing Semantic HTML: A Guide for Web Developers What is semantic HTML? header, nav, main, section, and footer help browsers, search engines, and assistive technologies understand the content and layout of a web page. Benefits of Semantic HTML Improved Accessibility: Semantic HTML elements provide a clear structure for assistive technologies, such as screen readers, to navigate and interpret web page content. Better Search Engine Optimization (SEO): Search engines can easily understand the content and structure of web pages using semantic HTML, leading to improved search engine rankings. Enhanced Maintainability: Semantic HTML elements make it easier for web developers to understand and maintain web page structure and content. Future-proofing: As the web evolves, semantic HTML elem…  ( 10 min )

🎥 Demo Video https://youtu.be/aNxPuhJyGa8 🚀 Super WhatsApp Agent – Project Overview Super WhatsApp Agent is an intelligent multi-modal assistant built with n8n, Bright Data, and OpenAI. 🧠 What the Agent Can Do You can type a question like "What’s new with n8n?" The Orchestrator routes it to the Search Agent. The Search Agent uses Bright Data + Google/Wikipedia to fetch real-time news. The agent replies back with the latest updates in text. 2) Voice Messages You can record a voice message like "Tell me the latest updates from Anthropic." The system: Transcribes the audio to text. Searches the web using Bright Data. Replies back with audio (Text-to-Speech). ✅ Demonstrates voice in → voice out workflow. 3) Email Agent You can say: "Send an email to Sarah about tomorrow’s meeting." The Gmai…  ( 7 min )

A inteligência artificial (IA) tornou-se onipresente no desenvolvimento de software moderno, oferecendo recursos de autocompletar código e assistentes (como GitHub Copilot, ChatGPT, entre outros) que aceleram tarefas repetitivas. Essas ferramentas vêm transformando práticas como code review, pair programming e geração automática de documentação. Porém, essa evolução levanta questões sobre a cultura de engenharia: até que ponto o diálogo humano e a transmissão de conhecimento colaborativo estão sendo substituídos por interações com a máquina? De um lado, a IA promete aumentar a produtividade e reduzir erros triviais; de outro, existe o risco de “empobrecimento do aprendizado coletivo” se desenvolvedores passarem a aceitar sugestões sem questionar. Neste artigo analiso como a IA impacta prát…  ( 15 min )

As August comes to an end, I can't help but reflect on what has been an absolutely incredible summer — full of programming, learning, and pushing the boundaries of what's possible with AI and web technologies. From building AI systems to literally "bringing a robot to life" — this summer has been a real adventure that I want to share with you. This summer turned into a personal challenge marathon, and honestly, I enjoyed every minute of it: The Redis AI Challenge became a real turning point for me. Instead of simply using Redis for caching, I dove deeper and transformed it into the forum's primary database. The result? A lightning-fast system that handles everything — from user data to AI-powered content recommendations. You can read the full description of this journey here. Key Takeaway:…  ( 8 min )

When I first started learning data engineering, I kept hearing two terms: ETL and ELT. At first, they sounded almost the same — just a reshuffling of letters. But the more I dug in, the more I realized these three letters represent a big shift in how modern data engineering works. Let me tell you the story. 📦 The Old Way: ETL Back in the early days of big data, storage and compute were expensive. So the process looked like this: Extract → Pull data from sources (databases, APIs, logs). Transform → Clean, filter, and reshape data before loading. Load → Store the processed data in a warehouse for analysis. This is ETL (Extract → Transform → Load). Imagine you’re moving into a new house. Before you carry boxes inside, you unpack everything, clean it, and arrange it nicely. Only then do you p…  ( 7 min )

"You've just deployed your new feature. It's getting traffic, but users are complaining that the app 'feels slow.' You check your metrics: your server is handling thousands of requests per second (high throughput!), so why is the user experience so poor? This, right here, is the classic clash between Throughput and Latency. Understanding their difference isn't just academic—it's the key to unlocking a faster, more scalable application." Alright, let's cut through the tech jargon! 🪚 According to the definition: Still too technical? Let's break it down with a simple example. Imagine a CPU is a Barista ☕ in a coffee shop. Now: Throughput is the total number of orders the barista can complete in an hour. → "How many coffees per hour?" 🏃‍♂️💨 Latency is the time you wait in line to get your c…  ( 10 min )

1. What is Gzip in REST API? Gzip is a popular lossless compression algorithm. In the context of REST APIs, Gzip can compress the HTTP request body (client → server) or the response body (server → client). Compression reduces payload size, which makes data transfer faster over the network. It works with the Content-Encoding header: Request from client: Accept-Encoding: gzip (client says “I can accept compressed responses”) Server response: Content-Encoding: gzip (server says “Here’s the response, compressed with gzip”) Good use cases: Large JSON/XML responses (e.g., reports, analytics data, big lists). APIs with high traffic over slow/limited networks (mobile, IoT). Reducing bandwidth costs on public APIs. Serving static content (HTML, CSS, JS, JSON, XML). Avoid Gzip: Ver…  ( 7 min )

Let's discuss what deepfakes are, recognize common scams, and learning detection techniques, you can stay one step ahead. Deepfakes are AI-generated videos, sunds or pictures that look real which makes someone say or do things they never did. You've probably seen some of these recently in the news. For instance, a 53-year-old French woman, known as Anne, believed she was in a romantic relationship with Brad Pitt after receiving messages from scammers posing as his mother and then him. She divorced her wealthy husband, sent $9,000 for "customs fees" on gifts, and ultimately lost over $800,000 from her divorce settlement [1]. In another case, a retired lecturer from Edinburgh named Nikki MacLeod was duped out of £17,000 in a romance scam involving deepfake videos of a woman she thought she …  ( 8 min )

Databases are a cornerstone of any meaningful business application. Or not meaningful. Or not even business. They keep things consistent. Yes, that’s the one. For decades, we’ve been using usernames and passwords to connect to databases inside applications. While consistent and secure enough, sometimes we want a different, more secure way to access sensitive data. And in this article, I’m going to show you the entire process of configuring a database connection using AWS native tools -- IAM roles and policies. This article is going to focus on applications running in Elastic Kubernetes Service (EKS) in AWS. Of course, the same approach can be used to allow connections from other compute resources -- whether that’s a plain EC2 instance or an ECS container -- but the details will differ sli…  ( 12 min )

This article is a more detailed follow-up to a Reddit post I recently published called “My prediction for Android”, which reflects my personal views as an Android developer, based on publicly available information and my own interpretation of current trends. As most of you probably know by now, Google has recently announced that any Android app will need to be verified by Google before it can be installed on a certified Android device, even if the installation happens outside Google Play. I have been developing Android applications for more than a decade, and I have witnessed firsthand all the “small” changes Google has rolled out over the years. In my view, these changes are slowly but surely destroying the idea of a truly open Android as we once knew it. Beyond this concerning requiremen…  ( 10 min )

Ever since Make.com introduced its new credit-based pricing model, developers have been raising eyebrows. What used to be straightforward operations-based billing is now a more abstract system tied to "credits" — and it’s affecting how we build, scale, and optimize our workflows. In this breakdown, we’ll cut through the marketing and help you understand: How the new credits system actually works What counts as a "credit-consuming" action How to optimize your scenarios to save money Whether you're now paying more than before 🧮 From Operations to Credits: What's Changed? Here’s the TL;DR: Feature Old Model (Operations) New Model (Credits) Billing Per Operation Per Credit Modules Mostly 1 op per module Can be multiple credits Pricing $9 for 10,000 ops $9 for 1,0…  ( 9 min )

FUN FACTS • AI is being used in medicine, physics, law, education, climate science, and more, so even researchers from non-CS backgrounds are publishing AI-related work. How Much Data Do We Generate Each Year? • In 2024, the world generated about 130 zettabytes of data. • By 2025, it’s projected to reach 181 zettabytes (IDC Global DataSphere), which is a nearly 40% jump in just one year. • For perspective: 1 zettabyte = 1 trillion gigabytes (GB) — enough to fill over 250 billion DVDs! Interesting Facts About All This Data 90% of the world’s data was created in just the last 2 years: More data has been made recently than in all of human history before. Every minute, people generate a staggering amount of content: By 2025, each person on Earth is projected to interact with connected devices about 4,800 times per day — that’s basically one interaction every 18 seconds. The Internet of Things (IoT) is a massive driver. About 90% of all data generated is “unstructured.” Why Should You Care? • Managing, storing, and protecting it is one of the biggest challenges (and opportunities) for technology and society.  ( 6 min )

Understanding Team Collaboration: The Key to Success In today’s fast-paced work environment, the concept of team collaboration has become crucial for achieving success. But what does team collaboration really mean? It's not just about individuals completing tasks; it’s the dynamic process of merging unique skills and ideas to create something that no one person could accomplish alone. Let’s explore the essence of effective collaboration and how it can revolutionize your team's performance. At its core, team collaboration is about synergy—where the combined efforts of individuals result in greater outcomes than if they worked in isolation. Imagine a jazz band where each musician listens and builds on each other’s contributions to create a harmonious performance. Without this synchronized …  ( 7 min )

Check out this Pen I made!  ( 5 min )

3 Types of AI based on its capability 1) Narrow AI (Weak AI): 2) General AI (Artificial General Intelligence, AGI): 3) Super AI (Artificial Superintelligence, ASI): The Dark Side of AI: Questions: Who owns AI-generated content? Should AI be allowed to make decisions in war?  ( 6 min )

In the realm of Node.js, the ability to spawn child processes opens up a realm of possibilities for developers seeking to optimize performance and leverage parallel computing. Let's delve into the intricacies of child processes and how they can supercharge your Node.js applications. In Node.js, child processes allow you to execute external commands or run additional Node.js scripts in parallel to the main process. This enables tasks to be offloaded, preventing blocking and enhancing overall efficiency. To spawn a child process in Node.js, you can use the built-in child_process module. Here's a simple example: const { spawn } = require('child_process'); const childProcess = spawn('ls', ['-lh', '/usr']); childProcess.stdout.on('data', (data) => { console.log(`stdout: ${data}`); }); chil…  ( 7 min )

Back in the days, and it’s still under active development, there was act, a tool to test GitHub Actions locally. Although it’s a great project and I suggest it for complex setup, sometimes you need something easier, and now there’s an official solution for that. Let’s see how it works together. Looking for a solution to test GitHub Actions locally, I found act: a popular third-party tool to do so. It has been around for a while, and it got a VS Code extension as well, but it’s far more complex than I need. It depends on Docker and supports GitHub CLI, for example. But I just want to execute some lines of JavaScript, then I kept going until I found a permanent solution: Local Action Debugger is the official way of doing it, and it’s pretty easy to use. All you have to do is installing it as…  ( 7 min )

Automating Article Creation from Slack to Dev.to with n8n + AI Let’s start with a case study. I received this challenge from an Upwork job posting, and I decided to learn by actually building it. The workflow is simple but powerful: Take prompts from Slack (#prompt channel) Run them through an AI model Generate article text Send to Slack for review, if approved → Publish the article to Dev.to Step 1: Create the Workflow First, create a new workflow and add your first step. Choose On App Event and select the Slack trigger. You’ll need two things: Access Token Signature Secret Go to the Slack App Dashboard and: Create a new app → From Scratch Name it (e.g. n8n Trigger) and select your workspace Fill your Slack credentials back in the Slack T…  ( 7 min )

Working with strings is one of the most common tasks in Java programming. Whether you’re building applications, handling user input, or processing data, understanding Java’s string manipulation methods is essential. Among these methods, the java string contains() method is often used to check if a particular sequence of characters exists within a string. However, Java provides several other string methods like equals(), startsWith(), endsWith(), and matches() that can sometimes be confused with contains(). In this blog, we at Tpoint Tech will explore how the java string contains() method works, how it compares with other popular string methods, and when to use each one. By the end, you’ll have a clear roadmap for choosing the right method in your Java projects. java string contains()? Th…  ( 8 min )

JOIN in SQL is used to combine data from multiple tables through a common column. This column is usually an id or a foreign key. The purpose is to display related data in a single result set. 📌 Example: Suppose there is a Customers table and an Orders table. To get the order information of a customer, we combine these two tables with a JOIN. INNER JOIN 🔍 Brings only the records that match in both tables. If there is no match, that row will not appear in the result. Logic: Intersection set Example: The list of customers who have placed an order. LEFT JOIN ↔️ Brings all records from the left table. If there is no match in the right table, those columns will be NULL. Logic: Entire left table + if right table exists, add extra data Example: The list of all customers, with empty order information for those who have not placed any orders. ✅ Difference: INNER JOIN → Only the matching ones ✅ LEFT JOIN → Entire left, add right if exists, otherwise empty 🗒️ 💡 Tip: Unnecessary LEFT JOIN decreases performance. To find unmatched records, the technique LEFT JOIN ... WHERE right_table.column IS NULL is commonly used. On large datasets, using indexes speeds up the query.  ( 6 min )

A comprehensive guide to understanding and using C++ templates effectively 📖 Table of Contents getGreater Key Takeaways What's Next? Why Do We Need Templates? Imagine you're a programmer and you need to write a simple function that finds the maximum of two numbers. You start with integers: int max_int(int a, int b) { return (a > b) ? a : b; } Easy enough. But now, your program needs to work with floating-point numbers as well. So, you write another function: float max_float(float a, float b) { return (a > b) ? a : b; } And then for doubles: double max_double(double a, double b) { return (a > b) ? a : b; } You might also have a custom class like Point that needs its own max function. Eventually, you end up with numerous functions that all do the same …  ( 19 min )

Last week, during the Java practical session, some students had trouble entering user input while running their code in VS Code. This happens because Code Runner (the extension used to run code) runs programs in the Output window, which does not support interactive input by default. Here’s how to fix it: go to file menu --> preferences --> Settings Search for code runner in the search bar Scroll down and tick the checkbox for “Run in Terminal” That’s it! Now your Java program will run in the terminal, and you’ll be able to enter input without any issues.  ( 6 min )

Top 7 Digital Finance Innovations Transforming Banking & Payments Banking and payments are no longer what they used to be. In just a few years, the rise of fintech and digital finance innovations has completely transformed how people send, save, invest, and spend money. Customers now expect speed, security, and personalization at every step — and banks are racing to keep up. AI, blockchain, and cloud are redefining banking efficiency and security. Digital wallets, open banking, and biometrics empower customers with speed and trust. CBDCs and stablecoins are set to transform the future of global payments. From AI-powered fraud detection to blockchain-driven cross-border payments, these innovations are redefining the global financial system. In this blog, we’ll explore the top 7 digital fi…  ( 12 min )

Some of the major software names and companies that still heavily depend on Java in 2025: Google uses Java extensively for server-side applications and UI, including Android app development and backend services. (GeeksforGeeks, Softjourn Inc) Amazon relies on Java across its e-commerce platform and AWS infrastructure. (GeeksforGeeks, Softjourn Inc) Netflix, LinkedIn, Uber, Airbnb, Spotify, and Meta (Facebook/Instagram) all integrate Java deeply into their backend ecosystems to support high scalability and reliability. (GeeksforGeeks, Softjourn Inc) Oracle itself uses Java across many of its enterprise products, including middleware, cloud services, and its Java Platform offerings. (GeeksforGeeks, Lead Grow Develop) IBM and SAP continue strong investment in Java-based enterprise solutions (…  ( 7 min )

🚀 Motivation There aren’t many (if any!) well-known libraries out there for live audio recording data visualization with a waveform in React Native. So… why not just build one yourself? 😉 Pretty neat, right? Let’s dive in. Here’s the setup I used: `react-native`: 0.79.5 `expo`: 53.0.17 `expo-av`: 15.1.7 `react-native-svg`: 15.12.1 👉 Run it with: npx expo run:ios The magic trick 🪄 is setting isMeteringEnabled: true in recording.prepareToRecordAsync() from expo-av. This unlocks audio-level metering data (like dB values). import { Audio, InterruptionModeIOS } from 'expo-av'; const { granted, status } = await Audio.requestPermissionsAsync(); await Audio.setAudioModeAsync({ allowsRecordingIOS: true, playsInSilentModeIOS: true, staysActiveInBackground: true, interruptionModeIOS…  ( 8 min )

Powered by Google, Bing, DuckDuckGo + n8n + Google Gemini This is a submission for the AI Agents Challenge powered by n8n and Bright Data BrightData Recruit Intelligence with Google, Bing, DuckDuckGo + n8n + Google Gemini Workflow The BrightData Recruit Intelligence workflow is designed to streamline talent sourcing and company research using search engine X-Ray queries, Bright Data’s scraping infrastructure, and Google Gemini AI reasoning. It allows recruiters, analysts, and growth teams to: Perform candidate searches (LinkedIn, GitHub, StackOverflow) using Boolean/X-Ray search queries. Extract company insights (LinkedIn company profiles, website data, metadata). Automate the entire data collection + interpretation pipeline within n8n. At its core, the workflow leverages: …  ( 11 min )

Introduction I’ve been working with React since 2020, and over the years, I’ve had countless discussions with colleagues about what makes a React app well-structured and easier to maintain. Based on those conversations and my own experience, I’ve decided to put together a series of articles around React design principles and best practices. This first one is all about React Components which is the heart of every React application. The aim here is not to hand over "absolute rules" but rather to share practical advice that will help you write cleaner, more scalable code. This is not an article for complete beginners. I’ll assume you already know the basics of React. If you’re still brushing up on fundamentals, I’d recommend doing that first and then coming back here. One important thing: d…  ( 9 min )

As Android developers, we often think we understand how our apps store data. We know about internal storage, external storage, and the basics of Android's file system. But there's a hidden layer that most developers—and definitely most users—never explore. Android maintains a complex file hierarchy with multiple levels of visibility, each serving different security and organizational purposes. Today, we'll reverse-engineer this system and uncover what's actually happening beneath the surface. Android's file hiding operates on multiple layers, each with distinct technical purposes: Traditional Unix-style files beginning with . remain hidden from standard file browsing. These include: .nomedia files that prevent media scanning .android_secure directories for app verification .thumbnails cont…  ( 11 min )

Hello everyone! 👋 I usually write about my homelab setup on Qiita (a Japanese blog site), but today, I want to share something different—a major professional goal I'm setting for myself. I'm officially starting a two-year journey to become a DevOps Engineer. This isn't just about learning new tech. It's a public commitment. I plan to document my progress, my struggles, and my victories right here. Think of it as a captain's log for my career voyage. This first post is about sharing the map I'll be using to navigate. What draws me to DevOps is the holistic approach to the software lifecycle. I'm fascinated by the idea of using tools like Infrastructure as Code (IaC) to automate everything, building resilient and reliable systems from the ground up. It's about bridging the gap between devel…  ( 9 min )

Hey there, design warriors and code slingers! Ever feel like you're trapped in a never-ending loop of downloading Figma assets, renaming them like a digital janitor, and shoving them into repos while praying nothing breaks? Picture this: You're knee-deep in a sprint, the designer's dropped a "quick update" bomb, and suddenly you're playing asset Tetris across Android and iOS for multiple markets. Chaos ensues—mismatched icons, pixelated nightmares, and that one guy yelling, "It works on my machine!" We've all been there, and it's about as fun as debugging IE6. But what if I told you there's a ninja move to flip the script? Enter n8n (that's "n-eight-n," an open-source workflow automation tool that's like Zapier on steroids). We're talking zero-touch syncing of Figma assets straight to your…  ( 11 min )

The CompTIA Security+ (SY0-701) is often the first “serious” certification many people take on their cybersecurity journey. It’s respected, widely recognized, and a great foundation for anyone aiming to enter security or cloud engineering. But when I started studying for Security+, I made mistakes, wasted time, and misunderstood what really mattered. 5 things I wish I knew before diving into it. When I first cracked open Security+ material, I thought I needed to memorize every port number, encryption algorithm, and acronym. Reality check: CompTIA tests whether you understand security concepts and can apply them. Example: Instead of asking “What port does HTTPS use?”, you might see: “A system admin wants to secure traffic between a web server and client. Which port should be opened on the …  ( 7 min )

K-means algorithm on a sample dataset of delivery fleet driver data set. code available here  ( 5 min )

When I was searching for a cost-effective email provider, I noticed that most providers bundle a single mailbox with strict storage limits. As someone starting a new venture, I didn’t want to mix personal emails with business ones, and I wanted the flexibility to create separate mailboxes for different apps and domains right from the beginning. Self-hosted email: I tried this route, but most ISPs block outbound ports to fight spam. AWS also requires opening a support ticket, providing justifications, and waiting for approval. In short—too much hassle. Zoho Mail: They once offered 5 free mailboxes, but that plan is gone for new users. Even then, the 5 GB storage and mailbox cap quickly felt restrictive. Mainstream providers (Google Workspace, GoDaddy, Hostinger, etc.): All are overpriced an…  ( 7 min )

DePINs are valued in the tens of billions, they’re set to disrupt centralized infrastructure models When people think of Web3, the first things that usually come to mind are crypto trading, NFTs, or DeFi apps that live entirely on our screens. But there’s a new wave of innovation that’s making blockchain tangible; something you can literally touch, plug into, and benefit from in your daily life. It’s called DePIN — Decentralized Physical Infrastructure Networks. Unlike traditional networks where big corporations own and control critical infrastructure (think: telecom towers, power grids, cloud storage, or transport systems), DePIN flips the model. It distributes ownership and operation to everyday people, backed by blockchain incentives. In short, it’s about building and owning the phys…  ( 8 min )

Introduction When writing HTML, developers often face a choice: wrap everything in and tags or take advantage of semantic HTML elements like , , , and . At first glance, it may not seem important. After all, the browser renders both approaches the same way. But for search engines, assistive technologies, and even long-term code maintainability, semantic HTML makes all the difference. This article dives into the technical benefits of semantic HTML for SEO and accessibility, providing practical implementation examples, before/after code comparisons, and measurable outcomes. If you’re a web developer looking to level up your technical writing, SEO implementation, and accessibility practices, this guide is for you. Search engines crawl milli…  ( 8 min )

Three weeks before our product launch, everything seemed perfect. Our app was running smoothly in development, Prisma was handling our database transactions beautifully, and we were confident about going live. Then we deployed to production. "Transaction failed: not in a replica set" – six words that turned our launch week into a debugging marathon. Sound familiar? If you've ever attempted to run MongoDB transactions in production, you're familiar with this pain. What works perfectly in development suddenly breaks when you need it most. Today, I'm sharing the production-ready MongoDB setup that finally solved this puzzle for us. Here's what happened: Our development environment used a simple MongoDB instance. But when we tried to use Prisma transactions in production, everything crashed. T…  ( 8 min )

The Neural Information Processing Systems (NeurIPS) conference is one of the most prestigious gatherings in the fields of machine learning and artificial intelligence. Each year, it attracts researchers and practitioners from around the globe who come together to present their latest findings, share insights, and push the boundaries of what is possible in these rapidly evolving fields. However, recent developments have stirred significant debate within the community, particularly regarding the conference's decision-making process concerning paper acceptance and the capacity constraints of the venue. Specifically, NeurIPS's push to encourage the Senior Area Chairs (SACs) to reject already accepted papers has raised questions about the conference's integrity, the pressure of maintaining high…  ( 10 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I built a workflow that takes reviews of an app from Google Play, runs sentiment analysis on them, and routes them based on the results. Positive reviews get logged for tracking, while negative ones are flagged so they can be acted on. The whole point was to create an automated system that helps teams quickly understand how users feel about their app without going through hundreds of reviews manually. To make it practical, I used Temu as the app for testing n8n Workflow Github Gist I started by connecting Bright Data’s Web Scraper node in n8n to Google Play. My first challenge was figuring out the correct URL setup to fetch reviews. I realized I needed to scrape by the app’s URL and then create a…  ( 8 min )

The mysterious AI model that dominated anonymous benchmarks for weeks finally revealed itself. Spoiler: It's Google's secret weapon. Picture this: A mysterious AI model appears on LMArena (the anonymous AI testing platform) and starts destroying every other image generator. Users don't know which company made it—they just know it's incredible. The community nicknamed it "Nano Banana" because of all the banana references appearing in test outputs. Google engineers started posting banana emojis on Twitter with zero explanation. The AI community went wild trying to figure out who was behind it. Plot twist: It was Google all along. And now it's officially here as Gemini 2.5 Flash Image. Lightning Speed While other AI image tools take 10-15 seconds, Nano Banana responds in 1-2 seconds. Someti…  ( 9 min )

Batch vs Streaming Data Pipelines: Understanding the Difference As data engineering continues to evolve, businesses are generating and consuming vast amounts of data at an unprecedented rate. This surge in data production has led to a growing need for efficient data processing and analysis. Two popular approaches to handling this data influx are batch data pipelines and streaming data pipelines. In this post, we'll delve into the fundamental differences between these two approaches, exploring their use cases, advantages, and disadvantages. What are Batch Data Pipelines? Batch data pipelines process data in batches, typically in an offline manner. This approach involves collecting data over a period of time, storing it in a data warehouse or a data lake, and then processing it in bulk. …  ( 7 min )

The AI landscape just got a major shakeup. Here's everything you need to know about the hottest models dominating 2025. Remember when OpenAI was the undisputed king of AI? Well, 2025 has been full of surprises. Chinese AI companies DeepSeek and Qwen (Alibaba) have been dropping bombshells left and right, and honestly? They're not just competing—they're winning in some categories. The most shocking moment? When DeepSeek's R1 model launched in January, it was so good and so cheap that it triggered a $600 billion stock market selloff. Nvidia alone lost 17% in a single day. That's not just a good AI model—that's a market disruptor. o3-mini: Their latest reasoning model that's 15x cheaper than o1 GPT-4.5: Focus shifted from reasoning to general intelligence Function calling: Finally available i…  ( 9 min )

bounding box provides a good balance between simplicity and efficiency. In this article, we will first look at Axis-Aligned Bounding Boxes (AABB), then move on to Oriented Bounding Boxes (OBB), and finally show how the Separating Axis Theorem (SAT) allows us to detect collisions in 2D and 3D. An Axis-Aligned Bounding Box (AABB) is the simplest bounding volume. It is a box aligned with the coordinate axes, which makes it very easy to compute but less flexible when objects rotate. Checking whether an AABB intersects another AABB is similar to testing whether a point lies inside a box. The difference is that we must perform one test per axis, using the boundaries of both boxes. For example, along the X-axis, we simply ask whether the intervals [AminX,AmaxX][A_{minX}, A_{maxX}][AminX​,Ama…  ( 8 min )

** The power of semantic HTML :A Guide for developers.** 1. Technical writing focus: A Deep Dive into semantic HTML . tags or meaningful semantic HTML , the invisible code behind the scenes has a profound impact on its performance , accessibility and discoverability. Semantic HTML is the practice of using HTML tags that convey meaning , providing structure and context to a document . this is not just the best practice :it is a strategic approach that elevates a website from a simple visual display to a robust , understandable and high performing digital asset . Search Engine Optimization (SEO) How Semantic HTML Tags Improve Indexing: A Well-structured HTML document allows a crawlier to quickly and accurately identify kry components . it knows that the primary navigation links are in th…  ( 9 min )

Between Microsoft, Cloud Services, and Alternative Solutions for Law Firms Attorney-client confidentiality (§ 43a (2) BRAO, § 203 StGB) is at the very core of legal practice. It forms the foundation of the trust relationship between lawyer and client and safeguards the rule of law. With ongoing digitalization, however, law firms face a conflict: modern software solutions such as Microsoft 365, Teams, or OneDrive are practically indispensable, but they raise significant questions of data sovereignty and confidentiality. A recent report by t3n criticized Microsoft for failing to provide basic transparency about data flows, noting that Europe remains in factual dependence on U.S. corporations in key IT sectors1 For law firms, this raises the crucial question: is the use of such products still…  ( 7 min )

Getting to work with a team of app developers gives you crazy insights about tech. Recently, Android 15 (API level 35) quietly changed something we’ve all experienced but rarely thought about: where apps are allowed to live on the screen. edge-to-edge layouts the default. That means apps no longer sit neatly under the status bar or above the navigation bar—they now stretch into every pixel of your display. This is about more than looks. It changes how apps interact with the parts of the screen traditionally reserved for system elements, also known as safe areas. Safe areas are screen zones guaranteed to be free from system UI elements. Think of them as invisible boundaries around: The status bar at the top (time, battery, network icons) The navigation bar or gesture area at the bottom Cuto…  ( 7 min )

**Rules for identifiers in java ✓ In Java, an identifier is the name you give to classes, methods, variables, interfaces, etc. Allowed characters Letters (A-Z, a-z) Digits (0-9) Underscore (_) Dollar sign ($) 👉 Example: myVar, student_name, $_count Must not begin with a digit No special characters or spaces (except _ and $) Cannot be a reserved keyword (like int, class, static, if) Case-sensitive No length limit: Convention rules (not enforced by compiler but recommended): ✓ Variables & methods → start with a lowercase letter (studentAge, calculateSum()) ✓ Classes & interfaces → start with an uppercase letter (Student, CarDetails) ✓ Constants → written in UPPERCASE with underscores (MAX_VALUE, PI) **Example Program String studentName; void displayInfo…  ( 7 min )

1. Introduction This analysis explores a sample international debt dataset using PostgreSQL. The goal is to understand the structure of the data, assess data quality, and generate insights about global debt distribution. The dataset contains information on countries, debt indicators, and debt value. It also includes missing values that must be handled carefully during analysis, if accurate meaning is to be drawn from the dataset. **Assuming there is an active connected postgresql. Open PostgreSQL in Dbeaver Create a schema create schema international_debt_analysis); Set the search path set search_path to international_debt_analysis); Right click on tables under your schema Import data Select the source file Map the table to the schema Confirm Proceed Open a new scri…  ( 8 min )

🔹 Problem: 37 Sudoku Solver Difficulty: #Hard Tags: #Backtracking, #Matrix, #Recursion We are given a partially filled 9×9 Sudoku board. The task is to fill the empty cells (.) such that the Sudoku rules are satisfied: Each row contains digits 1–9 without repetition Each column contains digits 1–9 without repetition Each of the nine 3×3 sub-boxes contains digits 1–9 without repetition The solution must modify the board in-place. Brute Force Idea: 1–9 in every empty cell and check if the board remains valid. This would be extremely slow because there are many possibilities. Optimized Strategy: backtracking with constraints tracking: Sudoku is already solved partially in programming, So, this problem is more like a algorithm memorization problem. Maintain three data structures (rows, co…  ( 7 min )

In CSS layout, spacing between elements is often handled with margin. This leads to technical debt: elements become interdependent, complicating maintenance and scalability. Ditch margin—it’s the devil’s music, playing in the depths of hell! Use gap instead. Yes, it requires extra wrappers, but it creates clear, self-contained nodes. The result: clean code, predictable behavior, and less technical debt. Margin is an outer spacing that affects neighboring elements, breaking the principle of encapsulation. In pattern evaluation, it’s an antipattern: it creates semantic conflicts. For example, a margin-bottom on one element dictates the spacing to the next, but if that neighbor changes (e.g., a class is added or removed), the entire layout can break. This leads to maintenance headaches: devel…  ( 8 min )

Horizontal and Vertical Pod Autoscaling in Kubernetes: A Deep Dive Kubernetes offers a powerful mechanism for managing and scaling containerized applications. Two key components of this mechanism are Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA). These tools dynamically adjust the resources allocated to your application based on demand, ensuring optimal performance and cost efficiency. This article provides a comprehensive exploration of HPA and VPA, covering their functionalities, prerequisites, advantages, disadvantages, and usage with examples. 1. Introduction In a modern microservices architecture deployed on Kubernetes, applications face fluctuating workloads. Predicting these fluctuations accurately and manually scaling pods to meet the changing demands is a…  ( 9 min )

Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach Ravinthiran Partheepan ・ Aug 31 #typescript #vectordatabase #deeplearning #machinelearning  ( 5 min )

What if the next generation of Angular forms could be simpler, more reactive, and more powerful? Signal-based forms bring a transformative approach to how developers manage reactive forms in Angular, addressing common pain points with increased clarity and efficiency. Unlike traditional reactive forms, signals introduce a new level of automatic reactivity by leveraging Angular’s reactive signal system, simplifying state management and change detection. This article will dive deep into what signals are, how integrating them into forms can revolutionize form handling, and practical techniques for implementing signal-based forms in your Angular applications. By the end, readers will understand why signal-based forms are poised to enhance both developer experience and application performance. …  ( 10 min )

Managing monorepos can feel like herding cats. Dependencies ## The Problem Our team hit this wall hard. Our monorepo grew to 50+ packages, ## The Solution MonoGuard analyzes your entire monorepo in 30 seconds: Zero Config: Just upload your files Privacy First: Local processing, auto-deletion Comprehensive: Dependencies, security, architecture Visual: Reports that actually make sense ## Try It Out MonoGuard Free tier available now. Built for developers who want to spend What monorepo pain points are you dealing with? Would love to hear *Built with Go + Next.js.  ( 6 min )

When working with sensitive data—such as financial records, user roles, or confidential information—tracking changes is not optional, it’s mandatory. Unlike general model updates, sensitive data changes must be audited separately to ensure that: You know exactly who changed the data. You can see what the data was before and after. You maintain compliance with regulations (GDPR, HIPAA, PCI DSS, etc.). In Laravel, this can be achieved by combining Events, Middleware, and Custom Audit Logs. Why Sensitive Data Auditing is Different Not all model changes are equal. Updating a blog title is harmless, but changing a user’s balance, password, or permissions is critical. Sensitive changes need extra auditing logic: e.g., store the user’s IP, device, or even require double approval. Example: Auditin…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data Selling on Amazon is one thing; being discovered is another. RankGap is a multi-agent AI system designed to uncover Amazon ranking blind spots for your products using real-time data. It identifies where your product ranks, which search queries you’re missing, and how to optimize for better visibility. Unlike generic reports, RankGap delivers actionable Amazon SEO insights by combining intelligent query generation, ranking analysis, and gap detection. Being discovered on Amazon isn’t just luck — it’s about strategic keyword targeting and SEO-aware visibility tracking. Key challenges sellers face: Keyword uncertainty: Many sellers don’t know which queries actually drive traffic. Manual rank tracking is slow: Mo…  ( 8 min )

The purpose of Image vector search is to find images that look visually similar to a given image. Instead of depending on filenames or tags, each image is converted into a vector, which is a list of numbers representing its features, like shapes, colors, and patterns. When you search for an image, the system compares its vector with vectors of all other images in the database and returns the closest matches. This is useful for: Classifying images into categories (e.g., chairs, tables, sofas) Finding duplicates or similar items Building recommendation systems Now, Let’s understand the purpose of BilberryDB BilberryDB is a unified vector database for handling unstructured data like images, audio, video, and text by turning them into vector embeddings, which are lists of numbers representing …  ( 8 min )

注意：本文仅供教育和安全研究使用。 本文内容及所涉及的技术，仅限用于合法授权下的安全研究、教学演示、 以及漏洞复现。严禁将本文技术用于未授权的渗透、监听、植入、操控行为。 本文内容仅限安全研究、漏洞复现与教学演示使用！ 使用者必须在完全理解并接受本声明的前提下继续阅读与操作。 凡将本文所述方法用于非法用途者，一切法律后果由使用者本人承担。 请严格遵守所在地的法律法规，特别是以下中国法律条款： 📜 《中华人民共和国网络安全法》 第十二条： 禁止任何组织或个人利用网络危害国家安全、煽动颠覆政权等活动。 📜 《中华人民共和国刑法》 第二百八十五条至二百八十七条： 非法入侵计算机系统、篡改或破坏数据将追究刑责。 📜 《中华人民共和国数据安全法》 第三条、第十七条： 数据处理活动必须合法合规，严禁非法获取、传输或泄露数据。 🚫 强烈禁止以下行为： - 向他人 APK 植入恶意代码并传播 - 上传恶意程序至应用市场 - 在未授权设备或网络环境中运行本篇提及的技术 ⚖️ 非法使用将触犯法律，作者不承担由此引发的任何后果。 🧪 本文操作均在本地沙箱环境下进行，示例所用 APK 为自定义构建 demo，用于演示完整技术链路，非实际恶意软件。 💡 特别提醒： 本文所涉及操作可能包含网络通信、远程访问、敏感权限调用等， 必须在受控环境下、获得明确授权后进行。 未经许可的任何行为都将被视为违法攻击。 📛 作者立场中立，仅为安全教育目的演示，不对滥用技术行为负责。 sudo apt update sudo apt install -y docker.io docker pull vulnerables/web-dvwa docker run --rm -it -p 7997:80 vulnerables/web-dvwa 访问浏览器：http://loc…  ( 7 min )

🚀 The New Wave of AI: Features Shaping Our Future Artificial Intelligence (AI) has moved beyond being just a buzzword—it’s now part of our daily lives. From smart assistants in our phones to advanced systems that help doctors diagnose diseases, AI is evolving at lightning speed. In 2025, we’re seeing groundbreaking features that are setting new standards for technology, productivity, and creativity. Here are some of the most exciting ones: 🌟 1. Generative AI Gets Smarter The rise of Generative AI—tools that create text, images, videos, and even code—has been one of the most revolutionary leaps. The latest versions don’t just generate content; they can refine tone, adapt to specific industries, and even collaborate with humans in real-time. This means marketers, educators, and developers can now co-create with AI at a higher level. 🗣️ 2. Natural Conversations With AI Chatbots and virtual assistants are no longer robotic. Thanks to advanced natural language processing (NLP), AI can now understand context, emotions, and subtle nuances. This makes interactions smoother, whether you’re talking to customer service or using a personal AI coach. 👁️ 3. Multimodal Intelligence A huge leap forward is multimodal AI—systems that can process and combine text, images, voice, and even video at once. For example, you could upload a chart and ask the AI to explain it in plain English or show a photo and ask for a written description. This ability makes AI more useful in education, research, and accessibility.  ( 6 min )

Introduction The financial world is no stranger to the concept of fraud. Historically, various scandals have rocked the foundations of markets, from the infamous Ponzi schemes to corporate malfeasance exemplified by the Enron scandal. Yet, as technology advances, particularly in the realm of artificial intelligence (AI), the stakes have escalated. A billionaire investor, known for shorting Enron and predicting its collapse, recently warned that we might not just be entering a new era of fraud; we could be at what he describes as the "diamond or platinum level" of deception. This assertion raises vital questions about how AI can be both a tool for innovation and a weapon for fraud. As machine learning algorithms become more sophisticated, they are enabling unprecedented opportunities for …  ( 11 min )

Kudos to the Devs who made it 💻🎉 There are many talented developers out there, and it's inspiring to see our achievements! Looking at LinkedIn profiles and social media posts, you'll find developers with impressive badges, certifications, and contributions that showcase our dedication to the craft. Many have earned that coveted "Senior" title through hard work and experience. We write clean, maintainable code, follow best practices like SOLID principles, and craft commit messages that tell the story of our work 📝. These developers often have structured routines - maybe we start our day early and then dive into our work with focus. We check our notifications, review pull requests thoughtfully, and write code with care. We're the kind of developers who read documentation thoroughly and …  ( 9 min )

Cherry-picking a Commit from Feature Branch into Master The Nautilus application development team needed to merge a specific commit from the feature branch into the master branch of the /opt/news.git repository. The required commit had the message “Update info.txt”. The task was to cherry-pick this commit into master and push the changes to the remote repository. cd /usr/src/kodekloudrepos/news Listed commit history in the feature branch to find the hash of the commit with the message Update info.txt: git log --oneline feature Example output: a1b2c3d Update info.txt f6e7g8h work in progress changes 1234abc initial commit The commit hash for Update info.txt was noted as a1b2c3d. git checkout master Applied the specific commit from the feature branch to master: git cherry-pick a1b2c3d This brought only the Update info.txt commit into the master branch without merging all feature branch changes. git push origin master The commit Update info.txt from feature was successfully merged into master. The repository history remains clean, as only the required commit was cherry-picked. Changes were pushed to the remote, ensuring the team can now access the updated master branch.  ( 6 min )

The State Management Struggle: A Frontend Dev’s Confession As a frontend developer, I’ve wrestled with state management more times than I’d like to admit. Redux felt like assembling a spaceship to buy groceries. Context API? Great until your app scales and performance tanks. Zustand and Recoil? They’re lightweight, sure, but sometimes you still end up with boilerplate that makes you question your life choices. Sound familiar? What Are Signals, and Why Should You Care? useStateor useReducer), Signals don’t rely on re-rendering entire components when state changes. Instead, they track dependencies at a granular level, updating only the specific parts of the UI affected by a state change. This is a game-changer for performance, especially in large-scale apps with complex UIs. Here’s why Signa…  ( 9 min )

## Navegando no Labirinto Digital: Leis, Viés e a Responsabilidade da IA O mundo digital está em constante ebulição, e com ele, a forma como coletamos, processamos e utilizamos dados. Em meio a essa transformação, surgem desafios éticos e legais complexos, que exigem uma reflexão profunda sobre a responsabilidade em um cenário cada vez mais automatizado. As Fronteiras da Privacidade: LGPD e GDPR No centro dessa discussão, encontramos a necessidade de proteger a privacidade e os direitos individuais em relação aos dados pessoais. A Lei Geral de Proteção de Dados (LGPD), no Brasil, e o Regulamento Geral sobre a Proteção de Dados (GDPR), na União Europeia, representam marcos importantes nesse sentido. Ambas as legislações estabelecem regras rigorosas sobre a coleta, o tratamento e o armazenam…  ( 7 min )

🟢 Imagine this scenario: @GetMapping("/hello") public String sayHello() { return "Hello World!"; } 👉 Here, the method returns a String directly. The request → executes the method → response is returned immediately. 🟡 Now, what if the response will come later? Sometimes data doesn’t come instantly (e.g., fetching from DB, calling another API, adding a delay). That’s where Mono comes in. 🔹 Example 1: Basic Mono @GetMapping("/hello") public Mono sayHello() { return Mono.just("Hello Reactive World!"); } 👉 Here: Mono.just("Hello Reactive World!") means: 🔹 Example 2: Mono with Delay @GetMapping("/delayed") public Mono delayedHello() { return Mono.just("Hello after delay!") .delayElement(Duration.ofSeconds(2)); // respond after 2 seconds } 👉 Here: The response comes after 2 seconds, but the server doesn’t block the thread during the wait. record User(String id, String name) {} @GetMapping("/user") public Mono getUser() { User user = new User("101", "Alice"); return Mono.just(user); } } 👉 Browser Response: { "id": "101", "name": "Alice" } } 🟢 Very Simple Analogy Think of Mono as: A parcel delivery service 📦 ✅ Use Mono when: Your API returns a single item asynchronously. You want non-blocking performance in Spring WebFlux.  ( 6 min )

Recently, I started working on my portfolio website with React and Tailwind. I wanted it to have a minimal black and white theme with some subtle animations to keep it clean but not boring. It’s still in progress, but it already feels rewarding to see it come together. Lately, I’ve run into some more complex challenges while building it. Learning when to break things into smaller components, and how to pass props cleanly without overcomplicating state, has been a big part of my growth. One tricky area has been handling responsiveness and layout across different screen sizes. Tailwind makes a lot of it easier, but I’ve realized that once animations and layouts get more custom, keeping everything consistent across breakpoints takes extra care. I’ve also gained a much better understanding of how hooks and props work. Form handling, for example, was a challenge at first. I spent around 4 hours setting up a third-party email handling service, but I finally got it working and can now successfully receive messages in my inbox. And of course, there are always bugs here and there. Even though these issues slowed me down, I’ve noticed that each time I push through, I come out with a clearer understanding of React’s patterns and how to balance good design with clean code. I’m getting more and more interested in React, and I’m already thinking about tackling a more complex project once I finish my website.  ( 6 min )

The USB-C for AI: A Developer’s Guide to the Model Context Protocol (MCP) Ever wished you could plug custom tools, files, and instructions directly into your AI model, just like plugging a device into a USB-C port? The current landscape of AI integrations can feel like a tangled mess of proprietary adapters and one-off APIs. That's where the Model Context Protocol (MCP) comes in. Developed by Anthropic, MCP is an open standard designed to be the universal connector between AI applications and external context. It creates a simple, standardized way for your AI to access the specific tools and data it needs to get the job done. In this guide, we'll break down what MCP is, why it’s a game-changer, and walk you through building your very own MCP server using Python. Think of MCP as the USB-C…  ( 9 min )

Types of Loans Personal Loan It is an unsecured loan given by a bank or financial institution to an individual for personal use, such as emergencies, education, travel, or debt repayment, and it is repaid in fixed monthly installments with interest. It is a secured loan from a bank or financial institution used to purchase, construct, or renovate a house, where the property itself acts as collateral until the loan is fully repaid. It is a loan provided by a bank or financial institution to cover expenses related to higher education, such as tuition fees, books, and living costs, which is usually repaid after the completion of the course. It is a secured loan provided by a bank or financial institution to purchase a new or used car, where the vehicle itself serves as collatera…  ( 7 min )

Reverting the Latest Commit in a Git Repository The Nautilus application development team reported issues with recent changes in the /usr/src/kodekloudrepos/media repository. The DevOps team was tasked with reverting the latest commit and restoring the repository to its previous state, while recording the change with a new commit message. Navigate to the repository cd /usr/src/kodekloudrepos/media Check commit history git log --oneline Output showed: 89baa1d add data.txt file b67c5f6 initial commit Revert the latest commit git revert HEAD --no-edit This created a revert commit but with the default message Revert "add data.txt file". Amend the commit message The requirement was to use all lowercase revert media, so the commit was amended: git commit --amend -m "revert media" Verify the history git log --oneline Final output: 04ee874 revert media 89baa1d add data.txt file b67c5f6 initial commit  ( 6 min )

All week we’re buried in commits, debugging sessions, and endless TODOs. It’s easy to get caught up in the big picture: launching a product, mastering a new framework, or shipping a polished feature. But here’s something I’ve been realizing lately: the real fuel for growth isn’t just the big milestones - it’s the small wins along the way. That moment when: A tricky bug finally disappears after hours of searching. Your refactor makes the code just a little cleaner. A side project shows its first working feature on screen. These moments may not feel like “major achievements,” but they’re what keep us moving forward. They build momentum. They remind us why we code in the first place - to create, to solve problems, to see our ideas come alive. I used to think progress only counted if it was big. Now I know: even one line of code written, one concept learned, or one bug fixed is progress. And celebrating those small wins makes the journey much more enjoyable. So here’s my reminder (for myself, and maybe for you too): 💡 What was your last “small win” in coding that made you smile?  ( 6 min )

Introduction The transition from Python developer to SaaS founder represents a significant evolution in skillset, mindset, and career trajectory. Having spent years building applications with Python frameworks like Django and Flask, I reached an inflection point where the logical next step was product ownership. This journey from writing code to building a business required not just technical expertise but strategic thinking, market awareness, and operational discipline. This comprehensive guide details my transformation, the challenges encountered, and the framework I developed for making this critical career transition successfully. As a Python developer, my focus was primarily technical: writing efficient code, optimizing algorithms, and ensuring application performance. The shift to …  ( 12 min )

Being a software engineer in today’s world is both rewarding and demanding. With technology evolving at lightning speed, every developer faces the constant challenge of staying updated while managing work and personal life. Let’s dive into how work-life balance, learning curves, and career growth intersect in the life of a modern software engineer. Technology never stands still. New programming languages, frameworks, tools, and best practices emerge every year. For a software engineer, learning isn’t just part of the job—it is the job. From mastering a new frontend framework to understanding cloud infrastructure, engineers often face steep learning curves. Continuous learning requires curiosity, persistence, and the ability to adapt. While it can feel overwhelming at times, embracing the l…  ( 6 min )

Angular continues to evolve as one of the most popular front-end frameworks, and with Angular 20, the team has introduced powerful new features, performance upgrades, and developer experience improvements. If you’re wondering what’s new in Angular 20 and why you should upgrade, this guide will walk you through the top features, examples, and migration tips. 🔥 1. Stable Angular Signals Angular Signals, introduced experimentally in Angular 16, have now reached full stability in Angular 20. ✅ Reactive state management without RxJS boilerplate. ✅ Easy-to-read code for managing app state. ✅ Better performance since change detection is more granular. Example – Counter App with Signals: import { Component, signal } from '@angular/core'; @Component({ selector: 'app-counter', template: ` …  ( 8 min )

Intro. Somehow this should have been my very first post here! It's about what over the years took me to of where I'm now with my coding skills and that is this. That is where it begins with "like a feature for my github page!", then I begin to gather the needed info of how to create that feature. Figuring out of how to get my idea realised, trying to understand the concept and if needed lookup some examples or following a tut. Finally and the best way to get forward, I open the editor and start coding. Then learn from that and put persistance in place until I get it right. While and as long as the pc doesn't smoke, it is all okay to make mistakes 😉! When I get it right, I move on and up to the next challence! Yes for me it's about being busy with it; learning, making mistakes, solving them and proceed to the next challence! As I work with many concepts, there is no way that I remember them all and I don't even try it! There is no need for too, because there is MDN where I can find 99% of what I want too know! There are moments on the road that I don't make any progress. When that occurs, I learned that having a break or looking the other way can do wonders. It helps to get a fresh new look on where I was working on! It happens that where I had previously spent hours on that I solve it in seconds! Trying things out, that is also what I do from time to time. Looking with a sharp eye to what I've created and or I can improve it, making it more KISS! Yes, my goal is always to Keep It Short and Simple! That's it.  ( 6 min )

Introduction sci-ai.streamlit.app Tech stack streamlit for frontend langgraph some langchain components arxiv api semanticscholar api groq api for llm inference Outline Setting up Langraph : from langgraph.graph import StateGraph, START, END from langgraph.graph.message import add_messages from langchain.chat_models import init_chat_model Langgraph (which uses langchain underneath for some of the processing) is an agent orchestration library that is more organised and mature compared to just langchain. Now, let's import other necessary libraries as well: from pydantic import BaseModel, Field from typing_extensions import TypedDict from typing import Annotated from langchain_community.document_loaders import ArxivLoader from semanticscholar import SemanticScholar from langchain_communit…  ( 9 min )

Intro Sorry that I posted this article before finishing by mistake.🙇 ↓PR-Agent is an OSS that can make AI code review automatically. https://qodo-merge-docs.qodo.ai/ free!🤑 You can use PR-Agent on repository such as GitHub, GitLab and others. slash commands in pull request comment. PR-Agent has 3 main functions. describe: explains the outline of the pull request. review: reviews the pull request. improve: suggests better code for the pull request. I wrote code with an obvious error, run PR-Agent, and attached screenshots as a sample. ↓describe ↓review ↓improve First, I tried PR-Agent using GitHub Actions. https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-action yml file. Here is the flow to use PR-Agent by GitHub action. Copy the template from the PR-Agent offic…  ( 8 min )

How to Persist Tool Permissions in Amazon Q Developer CLI Background When using Amazon Q Developer CLI, permission requests appear every time tools are called, interrupting the workflow. Even after granting permission multiple times in the same project, the requests reappear when the session changes, making it tedious to repeat the same actions repeatedly. This article explains the types of tool permission settings in Q Developer CLI and how to persist them across sessions. While I wanted to configure tool permissions across sessions, I also investigated within-session settings. After starting a session with the q command, you can set permissions using slash commands: # Allow specific tools /tools trust @mcp_name/tool_name # Allow all tools /tools trust-all You can specify p…  ( 7 min )

✨ From Groceries to Game Arcs ✨ Ever noticed how grocery shopping feels like a mini-quest? 🛒 That gave me an idea for my WIP Dark MapleWorld Layers → what if save points or checkpoints worked like that? Stop, breathe, and let the game “carry” progress for you while you keep moving forward. But here’s the fun twist → I like building my game story backwards (start from the end like some movie directors do 🎬). So checkpoints also double as story markers. Each “stop” doesn’t just save progress, it hints at the bigger ending players are moving towards. So yes, even a simple grocery trip can inspire a mix of mechanics + storytelling for me. Next, I’ll share how I play with dualities in the world design itself 👀  ( 6 min )

Do you know how easy it is to build something digitally and launch it publicly in less time? I built my SaaS in around 20 days with consistency and discipline. When the thought of building a SaaS came to my mind, I had no idea how to start or how it would solve real-world problems for users. I lacked clarity about the product I wanted to build. Later, I spent time finding clarity about what I really needed to build. Questions like: Will this make me profitable later or not? kept coming to mind. Eventually, I realized the best approach was to start small in order to gain experience building a product. I decided not to overthink about profitability, but instead to focus on making the product genuinely useful for others. So, I created a weekly plan (a sprint in Notion). I tracked all progress daily and marked tasks as: what to work on today, what was pending, and what was completed. I also planned priority tasks for the next day. This helped me dedicate fixed time blocks to building my SaaS product. Here’s the detailed explanation of the SaaS I built: 👉 The Start of Something Big: My First Micro SaaS Here’s the MVP version of my SaaS web application: paste-scribe 👉 Try it out and share your feedback in the feedback panel. I felt full of joy throughout this process. It seemed easy for me because I’m a software developer. The experience was very satisfying since I was building something for myself. Whether the product becomes profitable or not, I gained valuable experience in building a product. But after building, we also need strong marketing skills alongside technical skills. Learning marketing and selling is so important. Currently, I’m learning marketing and looking forward to building new products and trying them out in public. 👉 Share your experiences, suggestions, and ideas in the comments section, and follow my journey as I build and grow this SaaS 🚀  ( 6 min )

Most people think Python's built-ins are for beginners, but the truth is they secretly power faster teams, cleaner code, and decisions at scale ↓ I ignored tools like divmod, slice, and memoryview for years. Then I tested them on real work, not toy scripts. The speed and clarity gains were hard to ignore. Tiny tools create big leverage when used in the right place. Built-ins run in C, so they are fast and stable. They are also clear, so your code is easier to read. This is how you cut waste and reduce bugs. Last month, a log job handling 1.2M rows ran in 22 minutes. Using divmod for time math, zip for joins, and any and all for checks, it finished in 14 minutes. Lines of code dropped 31%, and defects fell to zero that week. ↓ Simple playbook to try this week. ↳ Use divmod for schedule math and timestamp splits. ↳ Use slice objects to define windows and avoid off-by-one errors. ↳ Use memoryview to update big byte arrays in place and cut peak RAM. ↳ Pair zip with enumerate to align columns and rows without temp lists. ↳ Use any and all for clear pass or fail rules. ⚡ Expect 15–30% faster runs on data tasks and 20–40% fewer lines. ⚡ Your future self will thank you when you read the code in six months. ☑ Teams who adopt this see fewer rollbacks and calmer on-calls. What would you add to this, and which built-in will you test this week?  ( 6 min )

💡 Database Isolation Levels Imagine you’re driving through a busy intersection. If there are no rules, everyone just drives whenever they want → chaos. 🚦 The Traffic Light Analogy Think of a busy intersection. 🚗 Read Uncommitted → No traffic lights. Everyone just rushes in. Fast, but lots of accidents (dirty reads). 🚦 Read Committed → Red/green lights exist, but they only control entry. Cars can still switch lanes suddenly (non-repeatable reads). 🛑 Repeatable Read → Not only red/green, but lanes are locked until you exit the junction. No car can push you out — but surprise, new cars might still show up in an empty lane (phantoms). 👮 Serializable → A strict traffic cop makes cars go one batch at a time. Zero accidents, but slow traffic. Understanding isolation levels is key to writi…  ( 8 min )

As 2025 unfolds, AI-powered coding assistants have become indispensable for developers seeking to streamline workflows, reduce errors, and scale their productivity. In this review, we evaluate five leading AI coding tools—Trae, GitHub Copilot, Amazon CodeWhisperer, Tabnine, and CodiumAI—through the lenses of efficiency (time saved), stability (consistency of performance), feature depth (range of capabilities), and user experience (ease of use). Our goal is to help you find a tool that aligns with your workflow, whether you’re a beginner learning to code or a senior developer building complex systems. After weeks of hands-on testing—including coding projects, stress tests, and feature comparisons—Trae emerges as the best all-round choice for 2025. Let’s dive into the details. Website: www…  ( 10 min )

A Medical Use Case False Positives vs. False Negatives definitions Medical Scenario: Organ Compatibility Testing Type I Error (False Positive) Type II Error (False Negative) A Critical Balancing Act Strategies for Managing the Trade-off When the Trade-off Shifts Conclusion In organ transplantation, the decisions are truly life-or-death. It might seem like the goal should simply be to “avoid all mistakes,” but in reality, every compatibility decision comes with trade-offs. By understanding what false positives and false negatives mean, transplant teams can set their testing standards in a way that both saves the most lives and protects the precious organs available  ( 7 min )

The rise of AI coding tools has revolutionized software development in 2025, enabling developers to write code faster, debug more efficiently, and focus on high-value problem-solving. With a plethora of options available, choosing the right tool can significantly impact productivity. This article evaluates five of the most popular AI coding tools—Trae, GitHub Copilot, Amazon CodeWhisperer, Tabnine, and CodiumAI—against key criteria: code generation quality, model flexibility, user experience (UI/UX), collaboration features, and pricing. We’ll dive deep into each tool’s strengths, weaknesses, and real-world performance, with a special focus on Trae, which stands out as the top all-around choice for 2025. To ensure a fair and comprehensive comparison, we assessed each tool against five criti…  ( 10 min )

Check out this Pen I made!  ( 5 min )

Demystifying the synchronized Keyword in Java If you’ve ever written multi-threaded code in Java, you’ve likely stumbled upon the synchronized keyword. At first glance, it looks like a magic wand to solve all concurrency problems—but as with most "magical" solutions, it comes with caveats. In this post, we’ll break down what synchronized really does, when it works, when it doesn’t, and weigh its pros and cons. 🔑 What Does synchronized Do? The synchronized keyword is Java’s built-in way to ensure mutual exclusion. In simple terms: 👉 Only one thread at a time can execute a synchronized method or block that’s locked on the same object. It achieves this by acquiring a monitor lock (also called an intrinsic lock) on the object. Other threads trying to acquire the same lock are forced to wait …  ( 8 min )

Introduction I’m an avid user of the Amazon Q Developer CLI. I mainly use the CLI version rather than the IDE integration. Of course, I’m on the Pro plan and happily paying for it. To be honest, I probably overused it. I threw everything at Amazon Q Developer CLI every day—code questions, AWS questions, small talk, anything—until I was told: “Monthly request limit reached - The limits reset on 09/01.” For the past few days I haven’t been able to use it. That was a problem, so rather than wait around, I decided to act. Well, it should work again tomorrow. Can’t wait. By the way, the model used by Amazon Q Developer CLI is Anthropic’s Claude Sonnet 4. Also by the way, I’m using macOS 15.6.1. #!/usr/bin/env bash set -euo pipefail # q chat usage counter wrapper # - Counts assistant rep…  ( 9 min )

Don't put off until tomorrow what you can do today. This idea has become one of the key ones for me in developing and documenting applications. "Why?" you may ask. It's very simple. Tell yourself: "I'll fix this later, and I'll rewrite this later. But this can wait for now. And I'll think about the file system later"? Well, this "later" may never come. And your project will turn into garbage. And even if you remember that it's time to move something somewhere, instead of two files you will have 100 or more. And you will no longer remember what is responsible for what and where it is. As a result, instead of one hour, you will spend a day or more on refactoring, which could and should have been avoided. In general, the key thing is not to rush to write code right away, but to think everyth…  ( 9 min )

Hey DEV Community 👋 I’ve recently launched my personal developer portfolio and I’m super excited to share it with you all! 🔗 Check it out here: https://patwary.vercel.app ⚡ Tech Stack 💡 What I’d Love Feedback On I’d really appreciate any suggestions or constructive feedback 🙏 Thanks a lot for your time!  ( 6 min )

TL;DR: This whirlwind 30-minute crash course dishes out over a decade’s worth of 3D printing wisdom, from treating your printer as a tool (not a toy) to actually learning 3D modeling instead of just downloading meh files. You’ll get the lowdown on why PLA is still a solid go-to, how to keep microplastics in check, and why breaking complex models into separate parts is a game-changer. Along the way, you’ll explore the underrated world of TPU, pick up safety hacks (hot air gun and scraper blade tips), and even dodge the cultish corners of the community. Oh, and pro tip: back up your favorite software and files—because hours of tweaking designs deserve a secure home. Watch on YouTube  ( 6 min )

Ever lost track of those // TODO: refactor this or /* FIXME: edge case */ comments scattered across your codebase? What if you could automatically extract them, organize them into a clean TODO.md, and never let a critical task slip through the cracks again? Meet comment-todo — the CLI tool that does exactly that, and does it elegantly. Why You’ll Love This Tool comment-todo isn’t just another code scanner. It’s AST-powered for JavaScript/TypeScript (so it ignores false positives in strings or regex), supports multiple languages (Python, PHP, Go, Shell, and more), and even parses metadata like assignees and due dates. Imagine turning this: // TODO(@alice, due:2025-09-01): Add validation Into a structured entry in your TODO.md! Key Features Smart Scanning: Uses AST parsing for JS…  ( 7 min )

Your Android phone comes with dozens of apps right out of the box. Gmail, Chrome, Google Maps — you know they're there, and you can choose whether to use them or not. But there's one app that's different. It's been quietly running in the background since the day you turned on your phone, and chances are you've never heard of it. It's called Android System Intelligence. Unlike every other app on your phone, you can't find Android System Intelligence by scrolling through your app drawer. There's no icon to tap, no interface to open. It lives deep in your phone's system, working behind the scenes. And it has access to almost everything. Your camera, microphone, photos, location data, and internet connection are all available to this hidden app. It can see what other apps you use, when you use…  ( 11 min )

Testing Automated Publishing This is a test article to verify that our automated publishing system for dev.to is working correctly. ✅ Markdown parsing from articles-en/ directory ✅ Front matter extraction ✅ GitHub Actions workflow trigger ✅ dev.to API integration File Detection: GitHub Actions detects changes to .md files in articles-en/ Script Execution: The publish-devto.js script processes the markdown API Call: Article data is sent to dev.to API Publication: Article appears on dev.to (if published: true) If this test article appears on dev.to successfully, we can: Start translating Japanese articles to English Set up proper canonical URLs Add cover images Configure publication settings This is just the beginning of an awesome automated workflow! 🚀!  ( 6 min )

How to Persist Tool Permissions in Amazon Q Developer CLI Background When using Amazon Q Developer CLI, permission requests appear every time tools are called, interrupting the workflow. Even after granting permission multiple times in the same project, the requests reappear when the session changes, making it tedious to repeat the same actions repeatedly. This article explains the types of tool permission settings in Q Developer CLI and how to persist them across sessions. While I wanted to configure tool permissions across sessions, I also investigated within-session settings. After starting a session with the q command, you can set permissions using slash commands: # Allow specific tools /tools trust @mcp_name/tool_name # Allow all tools /tools trust-all You can specify p…  ( 7 min )

This post is a part of my 30 Days 2 Root challenge series. Click here to learn about how the challenge works, or tell me what I should study next! Each organization is a world that needs a map to navigate the lay of the land. With this map, administrators know where the valuable things are. The issue is... Once attackers own this map, they don't only know where the valuable things are, they can control the borders. Active Directory services are used in the fortune 500. It's essentially a giant rulebook for an organization that says who can do what, and what they can access, and how they can access resources. Core components: Users: Individual users with specific security roles and privileges. Groups: Computer accounts: Domain controllers: These are specific nod…  ( 8 min )

A post by Nourhan Ibrahim  ( 5 min )

A polished “ad deal” led to a wallet compromise. Funds had already moved. We restored access and reassigned control of the attacker’s receiving wallet to the victim team. A reward was offered later; we didn’t keep it — the surplus was directed to @_SEAL_Org. We stay independent. The wallet was already compromised; funds had already been moved. We restored access and ensured $100K+ didn’t remain with the attacker. The project offered a reward; we didn’t keep it. The surplus was sent to @_SEAL_Org. We do this independently. This isn’t our job — it’s our hobby. ** ** The victim was approached with a partnership/advertising proposal for a crypto game. It looked credible: a plausible website, a fairly large X (Twitter) profile, and professional video calls. During a call, they asked to install…  ( 7 min )

Meet Beatbox, a modern online music streaming app designed for music lovers and developers alike. Built entirely with Flutter, Beatbox combines sleek design, smooth performance, and an open-source approach, making music streaming both enjoyable and accessible. What is Beatbox? Beatbox is more than just a streaming app—it’s your personal music hub. With a focus on high-quality online music streaming, Beatbox allows users to: Stream music from anywhere with an active internet connection Explore trending tracks and curated playlists Download songs for offline listening Enjoy a responsive and intuitive interface powered by Flutter Whether you’re a casual listener or a music enthusiast, Beatbox makes accessing your favorite tracks seamless and fun. Key Features of Beatbox Online Stream…  ( 7 min )

Constantly entering passwords when connecting via SSH irritate me a lot. I used to have several local machines, and every time I type the keys, remembering what the password is... But there is a simple solution now which is SSH keys. You set it up once, and then everything goes like clockwork. Like one password but for server. In this article, I will tell you how to do it step by step, especially if you are new to Linux or SSH. First, a few words about what SSH is. SSH (Secure Shell) is a protocol for secure remote access to a server. It encrypts all data so that no one can eavesdrop on your password or commands. Usually, you connect with a command like ssh user@ip-адрес, and the server asks for a password. But with keys, no password is needed authentication happens automatically through…  ( 9 min )

Table of Contents The Rise of LLMs Understanding Large Language Models: The Building Blocks The Problem: Why Building LLM Apps is Challenging Enter LangChain: The Framework That Changes Everything The Evolution of LangChain: From Chains to LCEL The LangChain Ecosystem: A Complete Platform Why LangChain Dominates Other Frameworks A World Without LangChain: The Standardization Problem Understanding LLM Limitations and How LangChain Solves Them Getting Started: Setting Up with Three Major Providers Your Learning Path: What Comes Next Conclusion: Your Journey into AI Development Begins The other day, I was explaining to my nephew how artificial intelligence works, and I realized something profound: what seemed like science fiction just five years ago is now powering the apps we use daily. F…  ( 18 min )

Llevo trabajando cuatro años como desarrollador full-stack en una empresa cuyo producto es un “SaaS”, o sea, básicamente una aplicación web. La empresa ha sufrido varios cambios internos de estrategia, y eso ha impactado al lado técnico también. En una de esas ocasiones se vio posible el reconsiderar varios aspectos técnicos que llevábamos en el front-end, y quise probar suerte proponiendo mi tecnología preferida para este ámbito: Elm. Para bien o para mal, los planes fueron otros, y hoy día Elm no se usa en la empresa en ninguna capacidad. Igual, quiero compartir un poco mi experiencia construyendo esta propuesta de integrar Elm en un sistema preexistente. Lo que sigue está escrito bajo la suposición de que tienes cierto conocimiento del lenguaje y algo de experiencia trabajando el front-…  ( 11 min )

One-Time Passwords (OTPs) are a crucial component of modern authentication systems, providing an extra layer of security through Two-Factor Authentication (2FA). one-time-pass? one-time-pass is a lightweight yet powerful library that generates both TOTP (Time-Based One-Time Password) and HOTP (HMAC-Based One-Time Password) codes. It adheres to the established standards of RFC 6238 and RFC 4226, ensuring that the generated codes are compatible with popular authenticator apps like Google Authenticator. What makes this library stand out is its commitment to simplicity. With zero dependencies, it keeps your project's footprint small and avoids potential dependency conflicts, making it a great choice for a wide range of applications. To begin using the library in your project, you can install…  ( 7 min )

Some time ago, while studying bash scripts, I tried to delve deeper into the topic and looked for more practice by solving any, even the smallest, tasks. One of these was a script that deletes temporary files, old dumps, folders node_modulesfrom long-forgotten projects. I found it the other day completely by accident. I tested it on a virtual machine, the script works, but is terribly hacky and visually unpleasant. What idea did I have? To check if ChatGPT can do the same (and how well) as I did, but more competently. The result was quite instructive: the AI ​​did a great job with the architecture, but really tried to ruin the system with a couple of lines. Below I will tell you how it was. The task is simple, you need to automatically find and delete unnecessary files according to certain…  ( 10 min )

I have been interviewing for roles for several months now (ask me why if you want to!) and thought I would write down some of the questions that came up. A question I got by a recruiter recently is, what is the difference between a Dockerfile and a container? Wonder what they were filtering for. What do I know about networking? VPC, BGP, firewall, subnets, IPs, cross-network communication Another company gave me a take home assignment with instructions to showcase my proficiency in Terraform and Google Cloud Platform (GCP) by developing a Terraform module for provisioning a GCP environment, including a Virtual Private Cloud (VPC) and a Google Kubernetes Engine (GKE) cluster, along with all necessary prerequisites which were detailed in the document. I used the setup to test some CPanel later on which broke the build but everything worked for the follow up interview in which we went over my submission. Check it out. On yet another interview, I was asked to write code so that engineers can queue up functions. How would I ensure that functions don't run over some timeout? Don't use inspect.  ( 6 min )

🎬 "You've learned Docker Compose basics. Now let’s level up and build a real full-stack app with persistent data, clean networking, and a frontend that connects to your backend and database — all with one command." We’re building a ToDo App with: 🖥️ Frontend: React ⚙️ Backend: Node.js + Express 🗃️ Database: MongoDB 📦 Volumes: For MongoDB persistence 🌐 Networks: For clean container communication todo-app/ ├── docker-compose.yml ├── backend/ │ ├── Dockerfile │ └── index.js ├── frontend/ │ ├── Dockerfile │ └── (React app) docker-compose.yml version: '3.8' services: mongo: image: mongo container_name: mongo volumes: - mongo-data:/data/db networks: - app-net backend: build: ./backend container_name: backend ports: - "5000:50…  ( 8 min )

Remember that sprint where your goal was "Complete user stories"? Yeah, that's not a goal. If you're tired of fuzzy sprint goals that could mean anything, I've found something that actually helps. Every sprint planning, same story. Someone asks "What's our sprint goal?" and we scramble to write something meaningful. Usually we end up with gems like "Improve the application" or "Fix bugs and add features." Not exactly inspiring. I found this free AI sprint goal generator that creates real sprint goals with measurable key results. You describe what you're working on, pick a focus type, and boom. Actual sprint goal with concrete success criteria. Takes 30 seconds. No signup required. Last sprint we were working on user onboarding. Fed that into the generator and got: Goal: "Enable seamless user onboarding by reducing signup friction" Key Results: Decrease signup time from 5 minutes to under 2 minutes Achieve 90% completion rate for new user registration Reduce support tickets related to signup by 50% That's an actual goal we can measure. Not just "work on onboarding stuff." The sprint goal generator forces you to be specific. It won't let you get away with vague objectives. Every goal comes with measurable key results, so there's no debate about whether you achieved it or not. We've been using it for three months now. Sprint planning is faster, the team stays focused, and sprint reviews actually have something concrete to discuss. Next sprint planning, give the free AI sprint goal generator a shot. Takes literally 30 seconds. If it doesn't work for you, go back to "Complete sprint backlog items" as your goal. But I bet you won't.  ( 6 min )

Raspberry Pi K8S Cluster Setup for Home Lab with Cilium Mahinsha Nazeer ・ Jun 6 #kubernetes #raspberrypi #docker #kubernetescluster  ( 5 min )

Ever stared at a giant backend function and thought, “No way I can write this”? I’ve been there. But here’s the truth: backend development isn’t about writing huge, scary functions — it’s about solving one small problem at a time. In this post, I’ll walk you through how I built a clean, structured user registration API using Node.js, Express, and MongoDB. If you’re a beginner trying to make sense of backend logic, this guide is for you. Many beginners feel overwhelmed when they see a big function or a long piece of code. When I first looked at backend code, I thought: "How am I ever going to handle so many things in one place — validation, files, database, errors, responses…?" But then I realized something important: 👉 Backend logic becomes simple if you break the big problem into sm…  ( 9 min )

Imagine a self-driving car facing an unavoidable accident. Does it prioritize the safety of its passengers, or the lives of pedestrians? This seemingly fictional dilemma highlights the urgent need for ethical considerations in Artificial Intelligence (AI), a field rapidly shaping our world. This article explores the crucial intersection of AI ethics and MLOps (Machine Learning Operations), explaining why they're not just buzzwords, but essential components of responsible AI development and deployment. Ethics in AI focuses on ensuring AI systems are developed and used responsibly, fairly, and transparently. This involves addressing potential biases in data, algorithms, and outcomes, and considering the broader societal impact of AI technologies. Think of it as the moral compass guiding AI …  ( 10 min )

On a gray November morning in 2018, a graduate student at Stanford was frantically trying to replicate Google’s groundbreaking new language model, BERT. The paper was dazzling, the benchmarks historic. But the code was a labyrinth of half-documented scripts, mysterious preprocessing steps, and GPU-hungry demands. After three nights of hacking, the student still could not get it to run. Then, buried on GitHub, he found something new: a small library from a startup called Hugging Face. In less than ten lines of Python, BERT was up and humming. The relief was electric. Suddenly, the cutting edge was no longer locked behind research walls. It was right there, accessible to anyone. That moment was not unique. Across the globe, developers and researchers were discovering the same thing. Hugging …  ( 8 min )

Domain names built on simple, memorable dictionary words have long held strong appeal on the internet. To better understand their current value and usage, I analyzed 230 English animal .com domains, covering both singular and plural forms. 111 animal domains are actively in use by businesses or individuals 61 animal domains are up for sale—with plural names disproportionately represented (42 vs. 19) 48 animal domains are largely dormant, sitting parked, under construction, broken, redirected, or unreachable Source: Animal Domain Stats by Lexicon Domains  ( 6 min )

As mentioned in my previous post, I've been working to create a locking mechanism for a class in python and it seems the test initially made for synthax ruling is now passing all the tests!! Here's the output results of using both the UniversalObject and LocalObject classes: === UniversalObject Examples === Dict creation (normal): {'name': 'John', 'age': 30} Index keys: ['name', 'age'] Name from index: John Dict creation (constant): {'name': 'John', 'age': 30} Index keys: ['name', 'age'] Name from index (should be tuple): ('John',) List creation (normal): [1, 2, 3] Index keys: ['arg_0', 'arg_1', 'arg_2'] arg_0 from index: 1 List creation (constant): [1, 2, 3] Index keys: ['const_0', 'const_1', 'const_2'] const_0 from index (should be tuple): (1,) Single value (normal): hello Index keys…  ( 6 min )

In modern microservice architectures, a single user request often triggers a call chain spanning multiple services. Effectively controlling the lifecycle of this call chain, passing common data, and “gracefully” terminating it when appropriate are key to ensuring system robustness, responsiveness, and resource efficiency. Go’s context.Context package is the standard solution designed specifically to address this set of problems. This article will systematically explain the core design principles of context.Context and provide a set of best practices applicable to microservice scenarios. Imagine a typical e-commerce order scenario: The API gateway receives a user’s HTTP request to place an order. The gateway calls the Order Service to create the order. The Order Service needs to call the Us…  ( 10 min )

I always wanted to write a post like Linus Torvald's famous Linux announcement, so here goes... I'm doing a (free) component library for micro frontends (just a hobby, won't be big and professional like Material-UI or Ant Design) for React 18+. This has been brewing since August, and is starting to get ready. I'd like any feedback on things people like/dislike in component libraries, as my library resembles existing ones somewhat (same basic philosophy of atomic design, among other things). I've currently ported most of the components I need, and a few utilities, but it's still very much a work in progress. This means it's not fully tested in all scenarios yet, but I'm getting there. It should be ready for broader use in a few weeks (or months - who knows). I'd like to know what features m…  ( 7 min )

Teks ini beberapa dibuat oleh generative AI Bahasa Earl dirancang untuk menyederhanakan alur logika dan interaksi dalam skrip. Dua perintah penting yang sering digunakan bersama adalah jika (untuk percabangan logika) dan tanya (untuk meminta masukan dari pengguna). Artikel ini menjelaskan cara kerja dan penggunaannya. jika: Logika Percabangan Perintah jika memungkinkan kamu mengevaluasi kondisi, lalu menjalankan blok kode jika kondisi tersebut benar (true). Struktur dasar: jika maka ...kode jika kondisi terpenuhi... selesai Contoh: atur :umur: = 20 jika :umur: >= 18 maka tampilkan "Anda sudah dewasa." selesai Jika nilai :umur: lebih dari atau sama dengan 18, maka akan menampilkan pesan tersebut. Operator yang didukung: Operator Arti == Sama dengan != Tidak sama dengan > Lebih besar dari = Lebih besar atau sama :nama_variabel: Contoh: tanya "Siapa nama Anda?" -> :nama: tampilkan "Halo, " + :nama: Input dari pengguna disimpan dalam :nama:, lalu ditampilkan kembali. jika dan tanya Kamu bisa menggabungkan tanya dan jika untuk membuat alur percabangan berdasarkan input pengguna. Contoh: tanya "Apakah Anda ingin melanjutkan?" -> :jawaban: jika :jawaban: == "ya" maka tampilkan "Baik, kita lanjut." selesai jika :jawaban: == "tidak" maka tampilkan "Baik, program dihentikan." selesai Pengguna ditanya, dan program akan menanggapi sesuai jawabannya. Earl membungkus nama variabel dengan tanda :, pastikan kamu menulis seperti :nama: bukan nama. Perhatikan bahwa jika di Earl harus selalu diakhiri dengan selesai. Perintah Fungsi Utama jika Mengevaluasi kondisi logika tanya Mengambil input dari pengguna Keduanya sangat berguna untuk membuat alur program yang interaktif dan dinamis.  ( 6 min )

In the world of e-commerce, real-time data is king. Whether you're synchronizing orders, updating inventory, or connecting to a third-party service, the ability to react instantly to events is crucial for building modern, efficient applications. This is where Shopify Webhooks come in, serving as the backbone for countless app integrations and custom workflows. However, for developers, working with webhooks presents a classic challenge: Shopify needs to send data to a public, internet-accessible URL, but your development environment runs on localhost. This disconnect can lead to slow, frustrating development cycles that involve constantly deploying code to a staging server just to test a small change. This comprehensive guide will solve that problem for you. We'll dive deep into what Shopif…  ( 13 min )

In the world of modern software development, automation is the key to efficiency, consistency, and speed. One of the most powerful tools for automation within the developer ecosystem is the GitHub webhook. Whether you're looking to build a CI/CD pipeline, send notifications to Slack, or trigger custom deployment scripts, understanding GitHub webhooks is a fundamental skill. This comprehensive guide will walk you through everything you need to know about GitHub webhooks. We'll start with the basics, build a real-world example using Node.js, and show you how to securely test your integration locally using open-source tools. By the end, you'll be able to confidently integrate GitHub webhooks into your own projects to automate your workflows. Before diving into the specifics of GitHub, it's cr…  ( 14 min )

Developing applications that integrate with the WhatsApp Business Platform offers incredible opportunities to engage with users. A core component of this integration is webhooks, which allow WhatsApp to send you real-time notifications about events, such as incoming messages. However, there's a significant hurdle for developers: WhatsApp requires a public HTTPS URL to send these notifications, but your development environment runs on localhost, which isn't accessible from the public internet. This guide solves that exact problem. You'll learn how to securely expose your local development server to the internet to receive WhatsApp webhooks, enabling you to build and test your integration in a fast, efficient feedback loop. We'll use a simple Node.js and Express application as our webhook re…  ( 12 min )

In the modern digital ecosystem, standalone applications are a rarity. The real power comes from integration—making different systems talk to each other to automate workflows, sync data, and create seamless user experiences. For the millions of websites powered by WordPress, this integration is often handled by WP Webhooks. They are the invisible bridges that connect your WordPress site to the vast world of APIs, SaaS products, and custom applications. However, developing and testing these crucial integrations comes with a significant challenge: how do you allow external services on the public internet to communicate with a WordPress instance running on your local machine? This is where developers often get stuck. This ultimate guide will not only teach you everything you need to know abou…  ( 14 min )

Introduction to Online Webhooks In modern web development, services frequently need to communicate with each other in real-time. While APIs allow your application to request data from other services, webhooks reverse this flow, enabling services to send data to your application as events happen. Whether it's a payment confirmation from Stripe, a new commit notification from GitHub, or a custom event from an IoT device, webhooks are the engine of the event-driven web. However, there's a fundamental challenge developers face when working with webhooks: the service sending the webhook needs to reach your application over the internet. This means your application must have a public, "online" URL. During development, your application is typically running on localhost, a private address access…  ( 12 min )

Notion has become a powerhouse for personal and collaborative productivity, but its true potential is unlocked when you start automating it. For developers, this often means working with webhooks. While Notion doesn't have traditional, one-click outgoing webhooks like GitHub or Slack, its powerful API allows you to create robust, webhook-like integrations. This guide will walk you through the entire process of setting up a "Notion webhook" system. You'll learn how to build a listener service with Node.js and Express, expose it to the internet for testing and development with the open source Tunnelmole tunneling tool, and create a workflow that effectively gives you real-time notifications for changes in your Notion database. By the end of this tutorial, you'll have a fully functional webho…  ( 12 min )

Introduction to n8n and Webhooks In the world of workflow automation, n8n has emerged as a powerful, flexible, and developer-friendly tool. It allows you to connect various applications and services to create sophisticated automated workflows with minimal code. A core component of these workflows, and indeed of modern web services, is the webhook. So, what is an n8n webhook? A webhook is essentially a way for applications to send automated messages or information to other applications. It's like an API but in reverse. Instead of your application actively polling a service for new data (making a request), the service automatically sends data to your application's unique "webhook URL" the moment an event occurs. In n8n, the "Webhook" node acts as a trigger, initiating a workflow whenever i…  ( 11 min )

Need to know what happened in crypto today? Here is the latest news on daily trends and events impacting Bitcoin price, blockchain, DeFi, NFTs, Web3 and crypto regulation.

Businesses are outstripping miner output several times over, potentially triggering a supply shock if exchange reserves continue to dwindle.

Businesses are outstripping miner output several times over, potentially triggering a supply shock if exchange reserves continue to dwindle.

Artificial intelligence will speed up innovation exponentially, making slow-moving public companies a poor investment vehicle in the future.

Artificial intelligence will speed up innovation exponentially, making slow-moving public companies a poor investment vehicle in the future.

Ethereum’s dominance in stablecoins and real-world assets shifted ETH from a speculative play to a major platform for institutional finance.

Ethereum’s dominance in stablecoins and real-world assets shifted ETH from a speculative play to a major platform for institutional finance.

Venture capital firms are now investing in established projects with clear and predictable revenue generation models over early-stage tech.

Venture capital firms are now investing in established projects with clear and predictable revenue generation models over early-stage tech.

Bitcoin faces the support retest that will decide the fate of its latest bull market, analysis says — can bullish RSI divergences save the day?

Bitcoin faces the support retest that will decide the fate of its latest bull market, analysis says — can bullish RSI divergences save the day?

Bitcoin is evolving from digital gold to productive capital as BTC now earns native yield, while holders maintain custody and decentralization.

Bitcoin is evolving from digital gold to productive capital as BTC now earns native yield, while holders maintain custody and decentralization.

Bitcoin’s daily transaction fees have dropped over 80% since April 2024, raising concerns about long-term network security. BTCfi could offer a way out.

Bitcoin’s daily transaction fees have dropped over 80% since April 2024, raising concerns about long-term network security. BTCfi could offer a way out.

Bitcoin is sluggish at the end of the month, but that didn’t stop Strategy and Metaplanet from buying over 5,000 BTC in August.

Bitcoin is sluggish at the end of the month, but that didn’t stop Strategy and Metaplanet from buying over 5,000 BTC in August.

Bitcoin is in position for a rebound toward $124,500 in September, even as history brands the month as one of its weakest.

Bitcoin is in position for a rebound toward $124,500 in September, even as history brands the month as one of its weakest.

California Governor Gavin Newsom says his planned memecoin is meant to expose the absurdity of Trump’s crypto ventures.

California Governor Gavin Newsom says his planned memecoin is meant to expose the absurdity of Trump’s crypto ventures.

Metaplanet’s stock has plunged 54% since mid-June, forcing the Tokyo-listed firm to seek alternative fundraising as its share-based “flywheel” falters.

Metaplanet’s stock has plunged 54% since mid-June, forcing the Tokyo-listed firm to seek alternative fundraising as its share-based “flywheel” falters.

Buy the dip mentions on social media are climbing as Bitcoin falls, which could be a sign the market hasn’t bottomed yet, Santiment says.

Buy the dip mentions on social media are climbing as Bitcoin falls, which could be a sign the market hasn’t bottomed yet, Santiment says.

A Bitcoin adviser says Bitcoin could reach as high as $10 million, and people will still be saying, “It can’t go any higher, right?”

A Bitcoin adviser says Bitcoin could reach as high as $10 million, and people will still be saying, “it can’t go any higher right?”

If you use Apache Spark to write your data pipeline, you might need to export or copy data from a source to destination while preserving the partition folders between the source and destination. When I researched online on how to do this in Spark, I ...  ( 5 min )

Private jet flights, yacht cruises and boutique hotels are now taking crypto. But does it make sense for bitcoin’s new wealthy to actually spend their coins?  ( 28 min )

Top bankers and economists expect the BOJ to hike rates in the fourth quarter, boosting the appeal of yen and yen-backed assets.  ( 29 min )

Bitcoin accumulation by retail and institutions is hitting highs, with one analyst saying it could set the stage for a major breakout as price steadies near $109,000  ( 29 min )

There's not an unlimited pool of capital available for crypto, and ether attracted the big money this month.  ( 28 min )

Bitwise’s André Dragosch argues gold still protects against stock sell-offs while bitcoin hedges bond stress — raising questions about their roles in 2025 portfolios.  ( 29 min )

The meme token posts a late-session rally on Aug. 30–31, with whale and exchange flows highlighting ongoing institutional participation despite macro uncertainty.  ( 26 min )

The token slips from $3.02 to $2.89 in the August 28–29 window on above-average volumes before recovering toward $2.83–$2.89 support zones. Oversold signals and whale accumulation offset persistent selling pressure  ( 28 min )

The US Trade Representative’s (USTR) office announced that its 25% tariffs on PC components – GPUs, CPUs, SSDs, and other relevant hardware – will not go into effect for a further three months. The new date for the tariffs is now set for 1 December 2025. This is the second extension for PC components this […] The post US Delays Tariffs On GPUs, CPUs, and Others Until December 2025 appeared first on Lowyat.NET.  ( 34 min )

The rise of electric vehicles in the automotive industry has opened the doors for new players such as Xiaomi to enter the market. Now, joining the wave is Dreame Technology, the robot vacuum maker, as per its announcement on 28 August. The company revealed that its first model, scheduled to debut in 2027, will be […] The post Robot Vacuum Maker, Dreame Technology, Announces Entry Into EV Segment appeared first on Lowyat.NET.  ( 35 min )

Throughout the past couple of months, we’ve seen possible names for the sequels of the Qualcomm Snapdragon 8 Elite chipset. Yes, sequels, with the next one alleged to be called the 8 Elite 2 followed by the 8 Elite 3. These two names come from serial leakster Digital Chat Station, though said leakster has changed […] The post Next Qualcomm Snapdragon 8 Elite Chip May Be Called 8 Elite Gen5 appeared first on Lowyat.NET.  ( 33 min )

Reports have been circulating online claiming that recent Windows 11 updates, specifically KB5063878 and KB5062660, were causing SSD failures. The issue appeared to be linked to drives using Phison controllers, with users suggesting that installing the updates could render drives undetectable under certain conditions, potentially leading to data loss or complete failure. Phison first acknowledged […] The post Microsoft Says SSD Failures Not Linked To Windows Updates appeared first on Lowyat.NET.  ( 34 min )

Destiny: Rising marks the expansion of the Destiny franchise into the mobile gaming market. First announced back in October, the game officially launched for Android and iOS earlier this week. The game is set in an alternate timeline, promising a refreshing new take on a familiar universe. Of course, I took the liberty to try […] The post A First Look At Destiny: Rising appeared first on Lowyat.NET.  ( 37 min )

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Hello, I'm continuing my journey of daily learning, focusing on System Design concepts (via the roadmap.sh System Design Roadmap) and then tackling DSA challenges on LeetCode. This is DAY 3! Today’s System Design concept dives into two crucial metrics for understanding system performance: Latency and Throughput. This is the time it takes for a system to respond to a single request. “How long does it take to get an answer?” Usually measured in milliseconds (ms) or microseconds (µs) High latency → slower response times Causes: network delays, slow database queries, inefficient code This is the number of requests a system can handle in a given period. “How many questions can you answer in a minute?” Measured in Requests Per Second (RPS) or Transactions Per Second (TPS) Low throughput → syst…  ( 7 min )

This is a submission for the AI Agents Challenge powered by n8n and Bright Data I created an AI-Powered Instagram Growth Predictor that analyzes Instagram profiles and predicts which accounts will become the next viral stars. The system solves a critical problem in the $16 billion influencer marketing industry: brands and agencies spend 10x more on established influencers when they could have partnered with emerging talent at 90% lower costs. The Problem: Manual influencer research takes hours, relies on gut feelings, and often leads to late discovery of promising accounts when partnerships become expensive. My Solution: Send any Instagram URL to a chat interface and get instant AI analysis including: Future Star Score (0-100) Investment recommendation (BUY/HOLD/AVOID) 6-month growth predi…  ( 9 min )

Previously, we set up the foundational elements for our world, including a lobby where players spawn and a basic game area for our future maze. In this part, we'll focus on implementing the core server-side logic for both the players and game controllers. We'll handle player state management, allow players to press a button to enter the game area, and introduce a finish line. When a player reaches the finish line, they'll be returned to the lobby, completing the game cycle. So lets continue, first we need to create a new script for our game controller. To do this use the scripts dropdown and create a new script, name this script GameController. Then if you open the script you should see the following boilerplate code: import * as hz from 'horizon/core'; class GameController extends hz.Co…  ( 17 min )

Before we jump into today’s session, I want to give a big shoutout to our amazing Semester 2 instructors! We’ve got Oladapo Abimbola a brilliant computer programmer with solid experience in cloud technologies and Abubakar Siddiq Ango a Developer Education and Community Leader, and also a Developer Relations Engineer. We’re super lucky to have both of them on board this semester! This week, we began the class with the usual revision which I have covered here and I would also advise that you go through that too if you haven’t already. Let’s dive in shall we? Linux is known for its stability, security, and flexibility qualities that make it the operating system of choice for developers, sysadmins, and enterprises worldwide. But beneath its simplicity lies a powerful system of users, groups,…  ( 8 min )

This blog explores how I implemented a simple shader that shows the illusion of a rug affected by the wind. Lots of tutorials explaining how to do a waving flag shader but it’s always a 3D approach, so let’s just turn this into something that looks appropriate for a pixel art sprite. My goal: Shader Components Time Based Wave: 1st step is our typical time based wave that is going to be applied on the sprite. Control how fast it animates → Time * WaveSpeed Set how many waves appear → UV.x * WaveFrequency Use Sine wave to oscillate each pixel up&down (Time * WaveSpeed) + (UV.X * WaveFrequency) → Sine Wave To better understand it, I imagine if we paused time, we get too see each pixel at a different position on the sine curve and if we continue, all pixels shift position simulating the wav…  ( 7 min )

You stand before a vast, dynamic machine—your application. You’ve mastered its gears and levers: the components, the state flows, the APIs. You can build features with your eyes closed. But a whisper of a deeper truth has begun to echo in your mind: What if the machine could understand itself? What if it could change its own shape while it’s running? This isn't about writing code. This is about writing code that writes code. This is the art of metaprogramming. For years, this art in JavaScript felt like a parlor trick—clever, but unfit for production. No longer. In 2025, with Decorators finally reaching maturity, we have a complete palette of tools to paint on the canvas of the runtime itself. This is a journey from being a carpenter who assembles pre-cut wood to a master woodworker who de…  ( 10 min )

Want a fresh, batteries-included SvelteKit app without wading through prompts and boilerplate? The MOTA starter wraps the official sv CLI with a one-shot installer that scaffolds your app, merges a template, sets sensible dotfiles, handles licensing, and more. bash -c "$(curl -fsSL https://cdn.jsdelivr.net/gh/bchainhub/sveltekit-starter/sv-starter.sh)" Run that, follow the prompts, and you’re coding. The script calls npx sv create behind the scenes, then automates the rest. (GitHub) After you run the command, the installer: Creates a SvelteKit project via npx sv create (you can still pass extra sv flags if you want—see below). Detects the project folder and cds into it. Installs a curated set of base deps for this starter. Optional Auth setup (interactive): None (default) @auth/sveltek…  ( 7 min )

A lightweight, framework-free Node.js project demonstrating a clean MVC structure inspired by Laravel. Includes routing, controllers, middleware, MySQL integration, form handling, security and a simple view Engine. All built from scratch. When most developers think of Node.js, they immediately think of Express.js. But what if you could build a clean MVC architecture routing, controllers, models, views, middleware, security without any framework ? That’s exactly what I built in my project. It’s a lightweight MVC boilerplate that teaches you how frameworks work under the hood. Why This Project ? No Frameworks: Everything is plain Node.js. Learn how MVC logic works internally. MVC Structure: Inspired by Laravel’s clarity and organization. Secure by Default: Includes CSRF, XSS protection, sess…  ( 8 min )

Spring Boot makes building APIs feel deceptively easy. When I started out, I focused on just “getting things working.” But when things break—or just scale badly—you realize that working code isn’t always good code. Here are 7 mistakes I made writing my first Spring Boot APIs, and what I now do to write cleaner, more maintainable backends. Not Using Validation Annotations (@Valid, @NotNull, etc.) What I did: Manually validated request payloads deep inside controllers or services. Missed fields caused confusing errors or null pointer exceptions. if (userRequest.getEmail() == null) { throw new IllegalArgumentException("Email is required"); } Why it's a problem: Makes code noisy and repetitive Delays validation too deep into the flow Prone to human error What I do now: Use Spring's bu…  ( 8 min )

wouldn’t go as far as calling it a framework — it’s more of a library I’ve been exploring some backend web frameworks lately and kept asking myself: what do these things actually do under the hood? To find out, I decided to dive into C++ and experiment. After some tinkering, I built a small homegrown backend web library, split into three layers: Socket Library – Handles raw communication between processes. HTTP Server – Parses HTTP requests, manages headers and bodies, and handles TCP streams. Web Library – Provides a simple framework for routing, controllers, and serving static files, similar to Express.js. Each layer is built on top of the one beneath it, so understanding the foundation is crucial. Before we dive into the layers, you can check out the GitHub repos: Socket Library: gith…  ( 12 min )

Day 19 - Github Card project Part 2 - Component Composition Create a GithubProfileCard component Create a GithubProfileList component Github Repositories Resources The demo displays Github users in a card layout. There is a GithubProfileList that iterates a list of user names and displays each user in a GithubProfileCard. // components/GithubProfileCard.vue import { useGithubProfile } from '@/composables/useGithubProfile.ts' type Prop = { username: string } const { username } = defineProps() The GithubProfileCard expects a username prop that can assign to the username ref of the useGithubProfile composable. The project is written in TypeScript, so defineProps macro can accept a prop type. const { username: name, pro…  ( 11 min )

Accessibility 🚀 ​What Exactly is Semantic HTML? ​Historically, developers often relied heavily on generic and tags for structuring content, then used CSS to give them visual meaning. While functional, this approach lacks inherent meaning. Semantic HTML, on the other hand, utilizes tags like , , , , , , , and many more, each with a specific, predefined purpose example, instead of My Article Title, you'd use My Article Title . The browser and assistive technologies immediately understand that signifies the most important heading on the page. ​The SEO Advantage: Speaking Search Engine Language ​Improved Content Understanding: When you use semantic tags, you're essentially providing clear signals to search engine crawlers about the structure and hierarchy of your content. A search…  ( 8 min )

🌐 Auto Translation CLI — Build Once, Translate Everywhere! 🚀 “Good code makes products work. Great code makes them speak every language.” 🌍✨ Hey Devs 👋, Introducing Auto Translation CLI v2.0 💫 📱 React Native support, so whether you’re building for web or mobile, your i18n workflow is just one command away. Because time spent on manual translation setup = time not spent building what matters. This CLI automates it all: 🚀 One-command setup 📂 Smart file organization 🔄 Auto-wrap text into t() 📱 Works for React & React Native (Node.js coming soon!) Command Description auto-translation scan Scans your project and detects plain text for translation auto-translation wrap Automatically wraps detected text with t() auto-translation extract Extracts translation keys into locale JSON files auto-translation organize Organizes translations into namespaces and files auto-translation strict Enforces consistency across teams with strict mode Step Command Description 1️⃣ npm install -g auto-translation Install the CLI globally 2️⃣ npx auto-translation Launch interactive setup 3️⃣ (Choose mode) 🔵 React (Web) / 📱 React Native / 🟢 Node.js (Coming soon) 💡 Remember: Every app has the potential to go global. 👉 Try it now: GitHub Repo | NPM ⭐ If this inspires you, star the repo & let’s make internationalization effortless together! 🔥 Build boldly. Ship globally. 🌍  ( 6 min )

In the first part of the series, we looked at how to set up a jj repo and make our first push to GitHub. We touched on "commit"s and bookmarks in jj. Be sure to check out that one if you don't know what these words mean! Now we get into the more interesting stuff: how to submit PRs and edit them easily. Note: I've since shortened the id for a jj commit to 4 characters in the config by setting 'format_short_id(id)' = 'id.shortest(4)' under template-aliases Before doing anything, let's run jj log again to check the status after our first push. Hmm, something unusual is going on here. We said in the first tutorial that the line starting with ◆ is the root commit. Why is the root commit not shown here? Why is the ◆ on our previous commit? And what is this ~ thing? Let's tackle these one by…  ( 8 min )

When integrating with APIs from banks, payment providers, telecoms, or SaaS services, you’ll often need to expose a callback URL or webhook endpoint. This is a publicly accessible URL where an external service sends real-time notifications about events (e.g., payment confirmations, message delivery receipts, or system alerts). Because these URLs are public-facing, they can become a target for attacks. Here’s how to design secure, reliable endpoints, regardless of your programming language or framework. Feature Callback Webhook Usage A one-time response to a request (e.g., transaction status) A persistent URL for continuous event delivery (e.g., GitHub push events) Trigger Linked to a single API call Triggered by system events automatically Examples Bank transfer status, delivery…  ( 7 min )

Rust and TypeScript: A Powerful Duo for Modern Development Rust and TypeScript, two seemingly disparate languages, are increasingly finding common ground in modern software development. Rust, known for its unparalleled performance and memory safety, excels in system-level programming and performance-critical applications. TypeScript, a superset of JavaScript, brings strong typing and improved tooling to web development, making large-scale JavaScript projects more manageable. This post explores how these two languages can complement each other, creating robust and efficient applications from backend to frontend. We'll dive into practical examples, demonstrating how Rust can power your backend while TypeScript handles the complexities of your frontend. By understanding their strengths and …  ( 9 min )

AI Returns to the Drive-Thru: Learning from Past Challenges\n\nArtificial intelligence quietly shapes much of our digital world, from predictive text on our phones to the algorithms that power personalized content feeds. Take Google Discover, for instance: it’s an AI-driven feature on Android devices and the Google app that curates news and articles tailored to your specific interests, learning from your search history and app usage. This kind of AI personalization aims to make information more relevant and accessible, much like the renewed efforts by fast-food giants Taco Bell and McDonald's to deploy AI at their drive-thrus, albeit in a very different context. After initial stumbling blocks, these quick-service pioneers are making a strategic comeback, ready to leverage advanced AI to re…  ( 11 min )

I was converting a website from WordPress to Hugo and needed an equivalent to the Tiled Image Gallery from Wordpress. I wanted the Tiled Mosaic style, but that was a little to complex, as it also contains colspans. I came up with this as an alternative. You can find it here: https://codepen.io/joosts/pen/LEpgLwN It has a WTFPL license and is almost fully 'vibe coded'. It is Javascript-heavy and requires no CSS. It uses a simple HTML structure, as illustrated below: ... The hardest part of using this code is determining the image ratio before rendering. Any server side language (like PHP) can generate these image ratios though, as can Hugo (which I have built this for). Knowing the image ratio before loading the images prevents layout shifts and ensures a smooth loading experience. This whole javascript is only a few kilobytes large, so it loads relatively quickly. It is fully responsive and has a debounce function that limits the redraws to 50ms, preventing it from being CPU-heavy. Aestheticly, it aims for about 1 image every 700px of width. The images always fill out nicely and the code prevents subpixel issues. Images have a minimum size, which turns the gallery into a list of images on mobile. The margin between the images is 4px. I did not take the time to fully understand the code, but it works pretty nice. If you want to change this code, I suggest you vibe code those changes as well. Enjoy!  ( 6 min )

EEPROM Read and Write Operations with Arduino In my previous post, I described a basic implementation of the EEPROM API and demonstrated, in a fairly simple example, how to read and write a few data cells. At that point, performance and operation speed were not particularly important, since the goal was only to provide an initial demonstration. Now I would like to focus on improving performance and, moreover, comparing the values from the EEPROM's datasheet with the actual operation speed. This should not really be considered a precise experiment on measuring the raw speed of the chip itself, because the Arduino platform inevitably introduces certain performance limitations by adding some overhead. Therefore, my goal is to make the read and write API operations as fast as realistically pos…  ( 11 min )

Next.js has revolutionized how we build modern web applications, providing sophisticated built-in sitemap generation capabilities through the generateSitemaps function. However, even the most comprehensive frameworks have limitations, and Next.js has one significant oversight that can impact large-scale applications: the absence of sitemap index functionality. For enterprise applications managing thousands or millions of pages, this limitation creates substantial SEO management challenges. While Next.js excels at generating multiple sitemaps, it leaves developers to manually coordinate these sitemaps with search engines—a process that becomes increasingly complex as applications scale. Before addressing the limitation, it's important to recognize what Next.js does exceptionally well. The f…  ( 10 min )

I recently launched sttrace.com, it's a site where people can practice real world software engineering problems. When it was finally time to move it from localhost to the internet I had to figure out a way to host it without burning a hole in my pocket. It's a simple website with a React client, Node.js backend server and a container manager REST API service. If I spin up one medium-sized EC2 instance, I can probably fit all the services along with a Postgres server and a self-hosted image registry in there. But looking at the cloud costs I realized that this setup would be very expensive. Then I realized I already have 2 servers running in my homelab. It's nothing fancy, 2 Dell Optiplex machines both running Linux. It'd be perfect for hosting. I can run my main monolith service on one server (the smaller one) and put the container manager and database on the other server. The second server is the bigger one since the container manager and DB will require more resources. The challenge would be to get around CGNAT. I tried some tunneling services which can give me public URLs for the services I was running on my homelab but the paid tier was too costly for me at that time. So I decided to implement my own SSH tunnel. First I needed something to tunnel to, so I got an elastic IP and a t2.micro EC2 instance on AWS. I started an nginx service on it and routed all the traffic to local ports. Once the nginx was running I started an SSH tunnel from my homelab to the EC2 instance. I then shoved all my startup commands for the required services into a bash script and created a systemd service. The website was then fully live🥳 This setup costs only peanuts, but is quite susceptible to internet or power outages.  ( 6 min )

Solving a Storage Problem with Junk! In this video, the I Like To Make Stuff crew tackles a clever DIY storage solution using discarded materials, all around a streamlined workflow spotlighting junk-inspired ingenuity. They’re powered by MRCOOLComfort’s ductless mini-split system—your go-to for DIY-friendly heating and cooling. Want more behind-the-scenes perks, exclusive videos and discounts? Dive into The Maker Alliance, subscribe to both channels, grab digital plans and merch, explore their Fusion 3D-modeling course, and snag tool kits via affiliate links. Follow on Instagram, Twitter and Facebook, jam to Epidemic Sound tracks, and let their woodworking, metalworking, electronics and 3D-printing adventures spark your next project! Watch on YouTube  ( 6 min )

In today’s livestream, Rick Beato dives into a simple shape that will totally transform how you navigate and understand the guitar neck—think instant clarity and fewer blind spots. Plus, it’s the final weekend to grab The Complete Beato System (six courses including Ear Training, the Beato Book, Songwriting and three guitar masterclasses) at 80% off for just $109. Hurry—this deal disappears Monday at midnight! Watch on YouTube  ( 5 min )

When building web applications that capture or process sound, one of the first tools you will use is the AudioContext from the Web Audio API. It gives you the environment to create, process, and control audio right inside the browser. One detail that often surprises developers is the sample rate. If you ignore it, your app might behave inconsistently across devices. If you handle it properly, you get more predictable and higher quality results. The AudioContext is like the control room for all audio in your web app. It manages: The sample rate (how many times per second audio is measured) The processing graph (nodes that filter, analyze, or modify sound) Timing for audio playback and recording Here’s a simple example: const audioContext = new AudioContext(); console.log("Sample rate:", aud…  ( 8 min )

Learn how to create a well designed and interactive website for personal purposes or businesses under 45mins  ( 5 min )

Generative AI is changing the way we build products, solve problems, and run businesses. But here’s the truth: ChatGPT ≠ Enterprise AI. As developers and tech leaders, we need to think beyond demos and ask the real questions: How do we ensure compliance (GDPR, HIPAA, CCPA)? Can AI integrate with our ERP/CRM pipelines? Will it scale without breaking infrastructure? Most importantly, will it deliver ROI? In this post, let’s break down: ✅ The enterprise AI workflow beyond ChatGPT ✅ Key compliance risks developers must understand ✅ Real-world use cases across industries ✅ Best practices for building enterprise-ready AI in 2025 ChatGPT is like a calculator. Enterprises need a full financial system. In practice, this means: Customization → industry-specific models (finance, h…  ( 7 min )

Spring Boot Scheduling – Best‑Practice Guide Whether you need to run a nightly batch, poll an external API every few seconds, or trigger a complex workflow on a cron schedule, Spring Boot gives you a rich set of tools. This guide gathers the most‑effective patterns, pitfalls to avoid, and production‑ready recommendations that have emerged from the community and from real‑world deployments. Use‑case Recommended tool Why Simple, local, non‑critical jobs (e.g. cache warm‑up, health‑check pings, short‑lived tasks) @Scheduled + TaskScheduler (default ThreadPoolTaskScheduler) Zero‑config, lightweight, runs in the same JVM. Jobs with retry, mis‑fire handling, state persistence Quartz (Spring Boot starter spring-boot-starter-quartz) Persistent job store, sophisticated calendar & mis…  ( 11 min )

I’m working on a Laravel-based property website and exploring the best way to add schema markup for real estate listings. Schema helps Google understand property details such as price, location, and availability, and can make listings eligible for rich snippets. As an example of a Laravel-powered real estate site, you can look at Danvast Property. In my project, I embedded JSON-LD directly into the property detail Blade template: php { "@context": "https://schema.org", https://schema.org/{{ $property->status == 'available' ? 'InStock' : 'SoldOut' }}", This method is simple: just use Blade variables to inject dynamic property data into the JSON-LD. Is embedding schema directly into the Blade view considered best practice? Would it be better to create a reusable Blade component for schema markup? Has anyone here used a package or SEO helper to manage structured data at scale in Laravel projects?  ( 6 min )

GRID: Key Concepts: display: grid;: Turns a container into a grid. grid-template-columns: Defines the number and size of columns. grid-gap: Sets the space between grid items. Basic Example of CSS Grid: CSS Grid Example .container { display: grid; grid-template-columns: repeat(3, 1fr); /* 3 equal columns */ grid-gap: 20px; /* space between grid items */ } .item { background-color: lightblue; padding: 20px; text-align: center; } Item 1 Item 2 Item 3<…  ( 6 min )

在一个尚处于快速发展和迭代的领域，例如AI，由于各种新方向的不确定性，研究和工程常常很难互相配合甚至互相纠结掣肘。从而导致，要么工程实现犹犹豫豫、方向摇摆不定；要么研究做得差，无法做到引领方向、开拓新领域的作用。 工程实现的主要矛盾是执行效率。所以它不能够常常进行大范围的功能变更，同时要以最终产品（deliverables）作为主要导向。而且最终产品的功能（functionality）和质量（quality）是其主要量化衡量标准。因此工程实现中的流程化是非常重要的手段。良好的流程能够提高大规模组织合作效率，提升可追溯性以及可重复性。 前沿研究的主要矛盾是创新性以及量化评估。创新性很好理解，就是需要跟踪业界的最新发展动态，并在此基础上发展出符合自身情况的创新性想法，并加以实现。量化评估则涉及到一个系统能够快速准确的对不同的创新性想法和实现方法进行量化分析，并得出不同条件下的最优选择结果。因此研究过程中就不能循规蹈矩，需要跳出条条框框（think out of the box）。所以前沿研究是反流程的，而且需要反流程。但是需要注意的是，公司内部的研究团队毕竟和大学不一样，它们需要为最终产生经济效益而服务，并且有较强的时效性。因此能够对创新性想法进行原型化（prototyping）是非常重要的。 研究与工程的共同点就是需要非常强的Ownership意识。研究团队更多的分散作战，类似游击队。每个小团队多则数人，少则一人，他们为自己的方向选择、成本控制以及原型化负责。团队之间的互相配合主要在于分享思想，所以他们的组织架构更适合自下而上的组织方式。工程实现则类似集团军会展，团队规模依据项目不同从数十人、数百人到上千人，需要很好的纪律性以及互相配合，责任分工需要非常明确。所以他们的组织架构更适合自上而下的组织方式。 为促进研究与工程的相互理解和交流，以及比较好的做法就是借助于矩阵架构，鼓励人员内部流动，防止出现结构性的组织壁垒。在矩阵架构里，应该以纵向的项目负责人或者负责团队为主导，在组建项目实施团队的过程中，他们需要“说服”研发人员加入他们的项目。而横向的人员管理（people manager）则应该处于配合角色，主要侧重横向不同领域的人才招聘、团队建设、职业发展和领域内信息交流。由项目负责团队和人员管理团队互相商讨确定项目实施团队的规模、日程计划和日常化项目管理。  ( 5 min )

After working on enabling use-cases for edge AI accelerator for more than 2 years now, here is some of my thinking about system performance. One of the biggest challenges we've been facing is how to improve overall system performance. (While the other is how to quickly enable a model from CPU / GPU backend to custom AI accelerator backend.) According to my observation, system performance of edge AI has the following attributes: End users care about end-to-end performance that includes latency, power and throughput (in this particular order). End-to-end performance is much more beyond just the model itself, with extra overhead from: Data loading, ie. from DRAM to on-chip memory. Data transfer, ie. from CPU to GPU over PCIe. Memory copy, ie. user space from/to kernel space. IPC (inter-proc…  ( 11 min )

"Software is king" It's a hard statement to make, as a veteran hardware engineer. Lots of pride and ego to swallow. However, it's truly based on my observations in the industry. Allow me to reason it with the following arguments: (1) Software has direct impact on user-experience It is the last layer that users interact with. And user-experience is the first and last thing will make you standout in the business world with so many competitors. Software directly decides how your users use your product. (2) Software has the power and the flexibility Well designed software can dramatically improve system performance and power consumption. It's a known fact that in a software hardware system, more benefits in performance and power you will be able to extract when you move up the system layers.…  ( 7 min )

Have a Vision: Without a clear vision outlining the final goals, how can we measure our progress? And it's essential to clearly communicate this vision with all team members. Break Down into Tasks and Milestones: To turn our vision into reality, we must break it down into tasks and establish milestones. Identify the Critical Path(s): With goals, tasks and milestones in place, we need to identify the most critical path(s). What are the determining factors for them? They could be technical unknowns, resources constraints, or external dependencies. What are the associated risks? Define the Action Plan(s): Based on the critical path(s), their determining factors, and the risks, how can we mitigate them? A concrete action plan is essential. It is an iteration process: while True: build() measure() learn() The key is maintaining transparency and open communication.  ( 6 min )

Writing clear and professional Git commits is more than a habit—it’s a skill that makes collaboration smoother, code history readable, and debugging easier. Here’s a concise guide to crafting quality commits. 🔹 Structure of a Good Commit A professional commit usually consists of: 1) Type – what kind of change it is (feature, fix, docs, etc.) 2) Short message – 50 characters max, written in imperative tone (e.g., “Add login validation”) 3) Optional detailed description – wrap text at 72 characters for readability, explaining why the change was made 🔹 Common Commit Types feat: Adding a new feature 🔹 Good commits feat: add user authentication 🔹 Pro Tips 1) Always use imperative mood: e.g., Add feature instead of Added feature 2) Keep your commits focused: one commit = one purpose 3) Include context in the description when necessary  ( 6 min )

I’m excited to share JsonifyPDF, a fully open source project that converts PDF documents into structured JSON data using AI-powered extraction. Live Project: UI API What It Does: Features: Upload PDF files or specify publicly accessible PDF URLs. Receive clean, well-structured JSON outputs. Built with FastAPI backend and React frontend. Uses Gemini AI API for advanced LLM-powered parsing. Open source with no freemium limits; freely deploy or extend. USE CASES: Autofill Forms: Automatically populate web/mobile forms with data extracted from complex PDF forms, speeding up onboarding and minimizing manual entry errors. Invoice Data Extraction: Extract critical invoice information—amounts, dates, line items—from PDFs into JSON format for seamless integration into accounting and ERP systems. Document Automation: Convert contracts, reports, receipts, and other official PDFs into structured data to automate workflows, approvals, and record keeping. Analytics & Data Enrichment: Use JSON outputs to feed business intelligence dashboards, enrich databases, and create actionable analytics for better decision-making .  ( 6 min )

Before now, we have been launching EC2 instances and manually installing apps like Jenkins, Docker, etc. Today, we’re moving to a smarter approach: automation with User Data and also learning IAM basics. When launching an EC2 instance, you can provide user data. This is a script that AWS runs automatically when the instance boots for the first time. #!/bin/bash # Update and install dependencies sudo apt update -y sudo apt install -y openjdk-11-jdk wget gnupg # Add Jenkins repo and key wget -q -O - https://pkg.jenkins.io/debian-stable/jenkins.io.key | sudo apt-key add - sudo sh -c 'echo deb http://pkg.jenkins.io/debian-stable binary/ > \ /etc/apt/sources.list.d/jenkins.list' # Install Jenkins sudo apt update -y sudo apt install -y jenkins # Start Jenkins sudo systemctl enable jenkins sudo systemctl start jenkins Once launched, copy the public IP of the instance and check http://:8080 in your browser → You should see the Jenkins setup page. IAM is AWS’s way of securely controlling who can access what. 1. Go to AWS Console → EC2 → Launch Instance. Choose Ubuntu AMI. In the User Data section, paste the Jenkins installation script (above). Launch the instance and open port 8080 in the Security Group. Once running, check → http://:8080. Take screenshot of: • The User Data script in AWS console. • Jenkins webpage showing it installed successfully. Step 1: Create Roles Step 2: Verify ✅ Deliverables for today: 1. Screenshot of EC2 User Data & Jenkins setup page. 2. Explanation of IAM Users, Groups, Roles in your own terms. 3. Screenshots of the three roles created: DevOps-User, Test-User, Admin.  ( 7 min )

Welcome Hi! I'm Matt. This is my first post ever on something like this. The reason I'm making this is because everytime I start a new project I simply leave it after 2 weeks or even less, so I thought actually sharing some of what I do would be nice to stay motivated to work on projects, meet new people and even end up learning new things. So this post is actually the first one about a new game I'm willing to start making (and continue if possible). It's going to be a fishing rpg game. I set the title as "Fishing World" but I don't really know if that will be the final name (although I kinda liked it 😅) The game idea came from all my frustrations with recent rpg games I've played. I know the focus of those games is not fishing, mining, woodcutting or any of it. It's actually a mix of all (in most cases). But I'd really like to find an rpg game that has deep content on all of it's skills and features. As I've already dived a bit in game development, I know that's something very difficult to achieve, so I've had the brilliant idea to make one myself 😁 (I'm not a psycho I swear). Actually, not really. The idea is actually making an open world fishing game that could have some other features such as cooking, crafting or things like that. But the main focus is on fishing. I'll be making the project using the python "pygame" library. I'll try keeping the project the most minimalist as possible (which is kinda controversial...), as pygame is not the most optimized tool to develop big or complex games. So that's it! I'll try sharing new things about the project daily. Although I want to keep consistency on posting, it will vary depending on absolutely unreasonable variables such as my mood 😝 Thanks for reading it (if anyone will do at all 👀). I'll try making these posts at least a bit funny and entertaining for you. See ya!  ( 7 min )

Research projects often come with a lot of unknowns. Many engineers find this unsettling because it’s less straightforward than math or digital realm. However, I think we should welcome these uncertainties. They reflect the real challenges of real-world task and provide a chance to showcase our capability, making our work more engaging and lively. Here’s my strategy to handle a research project: It’s important to know not just what is needed but also why it is needed. Finding out why can be tough because people might not want to explain their core motivation, which could be personal or office politics related sometimes. But knowing this helps make better decisions. Reach out to all your connections to find out what technical stacks are available to you. Double-check the resources you’re to…  ( 7 min )

Globally, the trend line is somber. The UN's latest Global E-waste Monitor 2024 estimates the world generated 62 million tonnes of e-waste in 2022—82% higher than in 2010—and will reach 82 million tonnes by 2030. But the officially reported formal collection/recycling rate was just 22.3% in 2022, with no visible sign of increasing. Under business-as-usual, that percentage could fall to ~20% by 2030. Generation is accelerating, and accurate recycling is lagging behind. The EU's WEEE Directive set ambitious collection targets—basically 65% of equipment placed on the market (or 85% of WEEE generated)—and has constructed the most sophisticated policy architecture. The U.S. does not have a federal law governing e-waste. Rather, 25 states and D.C. each have their own electronics recycling law; …  ( 8 min )

Hey Everyone 👋 I know it's been quite a long gap since my last article. But we are finally back with a bang. So if you’ve ever wondered how Airbnb, Shopify, or Meta keep their codebases sane while thousands of engineers ship features daily — the answer is simple: structure + discipline + automation. This isn’t about writing code that just works. It’s about writing code that: Scales with your team. Survives onboarding of 10 new devs. Passes reviews without a hundred nitpicks. And doesn’t make you cry when you open it six months later. Let’s break down what the big companies do differently — and how you can bring those practices into your own projects. Top companies don’t just throw files into a random components/ folder and hope for the best. They use feature-driven architecture, which g…  ( 9 min )

A few years ago, I was working as a product manager on a large product team. We were using agile—or we thought we were. We had all the meetings: standups, sprints, grooming, retros. But still, something didn’t feel right. Things were slow. People were tired. And nobody was really happy. When business teams asked for changes, some developers got upset. They said, “Why this was not in the ticket?” Testers wanted everything to be fully written before they do anything. It started to feel like we were doing waterfall, just with different words. Agile was only in the tools—not in the mindset. We were using Jira and all agile formats. But every small change request was a big problem. Developers wanted full clarity before working. Testers were worried when things were not written perfectly. They…  ( 7 min )

DevOps Prerequisites: Mastering Linux Basics for Effective Cloud & DevOps Workflows Anusha Kuppili ・ Aug 30 #devops #beginners #linux #career  ( 5 min )

A post by IT Giggs  ( 5 min )

1. Introduction Recently, in one of my projects, I came across a new tool – Nexthink. Initially, I knew very little about it, so I did some research to understand: What exactly is Nexthink? 🤔 Why do companies use it? How does it actually work? And most importantly, what can we learn from it? In this blog, I’m sharing my understanding and learnings about Nexthink in a simple, practical way. 2. What is Nexthink? Nexthink is a Digital Employee Experience (DEX) Platform designed to help IT teams monitor, analyze, and improve employees’ devices, apps, and network performance — in real-time. Founded: 2004, Switzerland 🇨🇭 Founder: Pedro Bados Global Presence: Used by hundreds of enterprises worldwide to enhance employee IT experience. 3. Why Companies Prefer Nexthink 💡 …  ( 7 min )

Hello, I'm Shrijith Venkatramana. I’m building LiveReview, a private AI code review tool that runs on your LLM key (OpenAI, Gemini, etc.) with highly competitive pricing -- built for small teams. Do check it out and give it a try! In this post, we'll explore advanced commands that can clean up your history, debug issues faster, and handle complex workflows. No fluff—just practical details, examples, and tips to level up your Git game. Let's jump in. Git's core commands like commit, push, and pull get the job done for simple projects, but advanced ones shine in team settings or large codebases. They help avoid messy histories, recover from mistakes, and isolate changes without breaking things. For instance, imagine a feature branch that's diverged wildly from main. Instead of a tangled merg…  ( 10 min )

Hey there! If you've been following along, you've successfully completed the first and most important step: setting up your React project. Congratulations! You now have a blank canvas, and this is where the real fun begins. In this article, we're going to take our first practical steps into the world of building UIs. We'll demystify JSX—the special syntax that makes React so powerful—and you'll learn how to create your very first component. By the end of this post, you'll have a running "Hello, World" program, and you'll understand the core pieces that make it work. Ready to start coding? Let's go! At its heart, React is all about building with components. Think of it like a set of digital LEGO bricks. Instead of building your entire website from a single, giant block, you create small, se…  ( 9 min )

I still remember the first time I touched React Native. I was that developer stuck in the endless loop of: "Do I build for iOS first? Or Android?” Two codebases. Two sets of bugs. Double the headaches. My energy was bleeding out just trying to keep things consistent across platforms. Then I found React Native. And just like that—it clicked. One codebase. One mindset. Yet apps that felt native on both platforms. My productivity shot up, and suddenly I was shipping faster than I ever thought possible. Here’s why React Native changed everything for me—and why it might do the same for you in 2025. The dream of "write once, run everywhere" is no longer a gimmick. With Fabric (a reworked UI layer) and TurboModules (super-fast native bridges), performance feels smoother, animations glide like but…  ( 7 min )

Bambu Lab H2S 3D Printer Review: Price Is Right! Tested dives into Bambu Lab’s new H2S—a single-nozzle, high-speed Core XY printer that’s essentially the bigger-build-volume follow-up to the H2D (and the X1C we’ve been eyeing). You get lightning-fast prints and even more room than the dual-nozzle H2D, all at a shockingly reasonable price. This review video (shot by Josh Self, edited by Norman Chan) is an independent take—the unit was provided by Bambu Lab but it’s not a sponsored spot. Check out the full rundown, links to buy, and all the Tested channel goodies (subscriptions, merch, socials) in the description. Watch on YouTube  ( 6 min )

I Like To Make Stuff turns bargain-basement yard‐sale finds into a slick, custom gear‐storage setup—complete with a shoutout to MRCOOL Comfort for hooking them up with a DIY-friendly ductless mini-split. Expect inventive woodworking, metalworking, electronics and 3D-printing tricks to repurpose junk into something seriously useful. Beyond the build, the channel invites you to join The Maker Alliance for exclusive vids and a private Discord, grab digital plans and merch, dive into a Fusion 3D-modeling course, and follow their socials. It’s all about inspiring you to roll up your sleeves and make what you really want. Watch on YouTube  ( 6 min )

Game Theory’s MatPat dives into Sega’s “official” Sonic timeline and discovers it’s a hot mess—major titles are missing and the whole thing’s in the wrong order. In true MatPat fashion, he breaks down each era to piece together the real Sonic chronology, setting the record straight once and for all. Along the way you’ll catch sponsor plugs for ACECRAFT (gift code ACEANDTJ!), a tease for the upcoming Theoryverse store, and a nod to Epidemic Sound’s royalty-free tunes. Shout-outs roll to the writers, editors, and sound designers who made the breakdown possible. Watch on YouTube  ( 5 min )

A lot of business owners invest in websites because “every business needs one.” That’s true — but here’s the problem: many of those websites are just online brochures. They look nice, but they don’t actually bring sales, leads, or real business growth. The trap of “just looking good” I’ve seen businesses spend thousands on design, animations, and branding — but no clear plan for how the website should work for them. The result? A site that people visit, admire, and leave. No conversions, no ROI. What a strategic website does differently Clear goals → Every page has a purpose: generate leads, sell a product, or book a call. Optimized CTAs → Visitors know exactly what to do next — no confusion. SEO foundation → The site brings in new traffic instead of waiting for ads. Analytics & tracking → You know where visitors come from, what they do, and why they leave. Automation → Follow-up emails, CRM integration, and abandoned-cart recovery turn missed opportunities into sales. A story I often see One client came to me saying: “I have traffic but no sales.” When we reviewed the site, the problem was obvious — no clear CTA, checkout was complicated, and there were no trust signals. After redesigning the flow with strategy in mind, conversions doubled in less than 2 months. 💡 Takeaway: Your website shouldn’t just exist. It should actively help you grow your business. If it’s not doing that, it’s not an asset — it’s a liability. -shaheen amjed https://shaheen-amjed.vercel.app  ( 6 min )

Excited to share something I’ve been working on for the React Native community! I just published react-native-smart-cache, a lightweight yet powerful caching library for React Native. URL: https://www.npmjs.com/package/react-native-smart-cache What it does: ✅ Cache API data, JSON, images, Videos and media 💡 Why I built this: In most RN projects, caching is a recurring challenge — developers either write boilerplate logic or use multiple libraries for APIs, AsyncStorage, and images. 📦 NPM: react-native-smart-cache hashtag#ReactNative hashtag#ReactNativeCommunity hashtag#OpenSource hashtag#MobileDevelopment hashtag#JavaScript hashtag#ReactNativeLibrary hashtag#AppDevelopment hashtag#Caching hashtag#OfflineFirst hashtag#ReactNativeApps hashtag#FrontendDevelopment hashtag#CrossPlatform hashtag#awaitsol hashtag#stacksgather hashtag#ReactNativeTools hashtag#NPM hashtag#ReactNativeDev hashtag#ReactNativeCache  ( 6 min )

A post by Suleyman  ( 5 min )